python data processing

python/1_ancestors.py

@@ -1 +0,0 @@
-``

python/1_parents.py

@@ -0,0 +1,59 @@
+import duckdb
+import yaml
+import time
+
+def extract_base_models(tags):
+    base_models = set()  # Use a set to ensure uniqueness
+    for tag in tags:
+        if tag.startswith("base_model:"):
+            base_model = tag.split(":")[-1]
+            base_model = ''.join(c for c in base_model if c.isalnum() or c in '/_.-')
+            base_models.add(base_model)  # Add to set
+    return list(base_models)  # Convert back to list
+
+# Create a DuckDB connection
+con = duckdb.connect()
+
+# Register the Python UDF with explicit return type
+con.create_function("extract_base_models", extract_base_models, return_type="VARCHAR[]")
+
+# Query to extract base models using the Python UDF
+query = """
+    SELECT 
+        _id, 
+        id, 
+        extract_base_models(tags) AS base_models
+    FROM parquet_scan('tables/models.parquet')
+"""
+
+start_time = time.time()
+
+# Execute the query and create a view
+con.execute(f"CREATE VIEW parent_models AS {query}")
+
+# Write the view to a parquet file
+con.execute("COPY parent_models TO 'tables/parents.parquet' (FORMAT 'parquet')")
+
+end_time = time.time()
+execution_time = end_time - start_time
+
+print(f"Query execution time: {execution_time:.2f} seconds")
+
+# Filter rows with non-empty base_models
+con.execute("""
+    CREATE VIEW non_empty_base_models AS
+    SELECT * 
+    FROM parent_models
+    WHERE ARRAY_LENGTH(base_models) > 0
+""")
+
+# Write a random sample of 10 rows with non-empty base_models to yaml file for inspection
+result = con.execute("""
+    SELECT _id, id, base_models 
+    FROM non_empty_base_models
+    ORDER BY RANDOM()
+    LIMIT 10
+""").fetchall()
+
+with open("tables/parents.example.yaml", "w") as f:
+    yaml.safe_dump(result, f, default_flow_style=False)

python/2_ancestors.py

@@ -0,0 +1,173 @@
+import duckdb
+import yaml
+import time
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+# Create a DuckDB connection
+con = duckdb.connect()
+
+def execute_with_timing(query, description):
+    """Execute a DuckDB query and log the execution time."""
+    start_time = time.perf_counter()  # Use perf_counter for higher resolution timing
+    con.execute(query)
+    end_time = time.perf_counter()  # End timing after the query execution
+    logging.info(f"Completed {description} in {end_time - start_time:.6f} seconds.")
+
+# Start timing the total execution
+total_start_time = time.perf_counter()
+
+# Load parents.parquet into an in-memory table
+load_parents_query = """
+    CREATE TABLE parents_in_memory AS
+    SELECT * FROM parquet_scan('tables/parents.parquet')
+"""
+execute_with_timing(load_parents_query, "Loaded parents.parquet into RAM")
+
+# Step 1: Assign a unique numerical ID to each model ID
+unique_id_query = """
+    CREATE TABLE unique_ids AS
+    SELECT 
+        id, 
+        ROW_NUMBER() OVER () AS tmp_id
+    FROM parents_in_memory
+"""
+execute_with_timing(unique_id_query, "Step 1: Created unique_ids table")
+
+# Step 2: Unnest base_models and create a temporary table
+unnest_query = """
+    CREATE TABLE unnested_models AS
+    SELECT 
+        u.tmp_id AS child_tmp_id,  -- Numerical ID for the child model
+        UNNEST(p.base_models) AS base_model
+    FROM parents_in_memory p
+    JOIN unique_ids u ON p.id = u.id
+    WHERE p.base_models IS NOT NULL  -- Filter out models without base models
+"""
+execute_with_timing(unnest_query, "Step 2: Created unnested_models table")
+
+# Step 3: Create a temporary table for direct parent mapping using numerical IDs
+parent_level_query = """
+    CREATE TABLE parent_level AS
+    SELECT 
+        u.child_tmp_id,  -- Numerical ID for the child model
+        b.tmp_id AS base_tmp_id    -- Numerical ID for the base model (parent)
+    FROM unnested_models u
+    JOIN unique_ids b ON u.base_model = b.id
+"""
+execute_with_timing(parent_level_query, "Step 3: Created parent_level table")
+
+# Step 4: Recursive CTE to find all ancestor-children mappings using numerical IDs
+ancestor_children_query = """
+    CREATE TABLE ancestor_children AS
+    WITH RECURSIVE ancestor_children_cte AS (
+        SELECT 
+            base_tmp_id AS ancestor_tmp_id,  -- Start with direct parent as ancestor
+            child_tmp_id AS child_tmp_id,    -- Direct child
+            1 AS depth                       -- Initialize depth counter
+        FROM parent_level
+        
+        UNION ALL
+        
+        SELECT 
+            ac.ancestor_tmp_id,  -- Propagate ancestor
+            pl.child_tmp_id,     -- Find new child in the chain
+            ac.depth + 1         -- Increment depth counter
+        FROM parent_level pl
+        JOIN ancestor_children_cte ac ON pl.base_tmp_id = ac.child_tmp_id
+        WHERE ac.depth < 20      -- Limit recursion to 10 levels
+    )
+    SELECT 
+        a.id AS ancestor, 
+        LIST(DISTINCT c.id) AS all_children
+    FROM ancestor_children_cte ac
+    JOIN unique_ids a ON ac.ancestor_tmp_id = a.tmp_id
+    JOIN unique_ids c ON c.tmp_id = ac.child_tmp_id
+    GROUP BY ancestor
+"""
+execute_with_timing(ancestor_children_query, "Step 4: Created ancestor_children table with string IDs")
+
+# Create a direct children mapping table
+direct_children_mapping_query = """
+    CREATE TABLE direct_children_mapping AS
+    SELECT 
+        p.id AS parent,
+        LIST(DISTINCT u.id) AS direct_children
+    FROM parents_in_memory p
+    LEFT JOIN unnested_models um ON p.id = um.base_model
+    LEFT JOIN unique_ids u ON um.child_tmp_id = u.tmp_id
+    GROUP BY p.id
+"""
+execute_with_timing(direct_children_mapping_query, "Created direct_children_mapping table")
+
+# Write the final result to a parquet file, using direct_children_mapping for direct_children
+start_time = time.perf_counter()
+final_output_query = """
+    COPY (
+        SELECT 
+            ac.ancestor, 
+            dcm.direct_children,
+            ac.all_children
+        FROM ancestor_children ac
+        LEFT JOIN direct_children_mapping dcm ON ac.ancestor = dcm.parent
+    ) TO 'tables/ancestor_children.parquet' (FORMAT 'parquet')
+"""
+con.execute(final_output_query)
+end_time = time.perf_counter()
+logging.info(f"Written ancestor_children to parquet file in {end_time - start_time:.6f} seconds.")
+
+# Write a random sample of 10 rows with non-empty children to yaml file for inspection
+start_time = time.perf_counter()
+sample_query = """
+    SELECT ac.ancestor, dcm.direct_children, ac.all_children
+    FROM ancestor_children ac
+    LEFT JOIN direct_children_mapping dcm ON ac.ancestor = dcm.parent
+    WHERE array_length(ac.all_children) > 0
+    LIMIT 10
+"""
+sample_data = con.execute(sample_query).fetchall()
+with open("tables/ancestor_children.example.yaml", "w") as f:
+    yaml.safe_dump(sample_data, f, default_flow_style=False)
+end_time = time.perf_counter()
+logging.info(f"Written sample data to YAML file in {end_time - start_time:.6f} seconds.")
+
+# Write a random sample of 10 rows with no children (direct or indirect) to yaml file
+start_time = time.perf_counter()
+no_children_query = """
+    SELECT ac.ancestor, dcm.direct_children, ac.all_children
+    FROM ancestor_children ac
+    LEFT JOIN direct_children_mapping dcm ON ac.ancestor = dcm.parent
+    WHERE array_length(ac.all_children) = 0
+    LIMIT 10
+"""
+no_children_data = con.execute(no_children_query).fetchall()
+end_time = time.perf_counter()
+logging.info(f"Fetched sample data of models with no children in {end_time - start_time:.6f} seconds.")
+logging.info("Examples of models with no children (direct or indirect):")
+for model in no_children_data:
+    logging.info(model)
+
+# List top 10 ancestors with the most children and their number of direct children
+start_time = time.perf_counter()
+top_ancestors_query = """
+    SELECT 
+        ac.ancestor, 
+        array_length(ac.all_children) AS num_all_children,
+        array_length(dcm.direct_children) AS num_direct_children
+    FROM ancestor_children ac
+    LEFT JOIN direct_children_mapping dcm ON ac.ancestor = dcm.parent
+    ORDER BY num_all_children DESC
+    LIMIT 10
+"""
+top_ancestors = con.execute(top_ancestors_query).fetchall()
+end_time = time.perf_counter()
+logging.info(f"Listed top 10 ancestors with the most children in {end_time - start_time:.6f} seconds.")
+logging.info("Top 10 ancestors with the most children and their number of direct children:")
+for ancestor in top_ancestors:
+    logging.info(ancestor)
+
+# Log the total processing time
+total_execution_time = time.perf_counter() - total_start_time
+print(f"Total processing time: {total_execution_time:.6f} seconds")

requirements.txt

@@ -1,3 +1,5 @@
 requests
 tqdm
-duckdb
+duckdb
+pyarrow
+pandas

tables/ancestor_children.example.yaml

@@ -0,0 +1,68 @@
+- - Locutusque/Hercules-6.0-Llama-3.1-8B
+  - - mradermacher/Hercules-6.0-Llama-3.1-8B-GGUF
+    - bartowski/Hercules-6.0-Llama-3.1-8B-exl2
+    - kromeurus/L3.1-Clouded-Uchtave-v0.1-8B
+    - bartowski/Hercules-6.0-Llama-3.1-8B-GGUF
+    - mradermacher/Hercules-6.0-Llama-3.1-8B-i1-GGUF
+  - - kromquant/L3.1-Clouded-Uchtave-v0.1-8B-GGUFs
+    - bartowski/Hercules-6.0-Llama-3.1-8B-exl2
+    - mradermacher/Hercules-6.0-Llama-3.1-8B-GGUF
+    - mradermacher/L3.1-Clouded-Uchtave-v0.1-8B-GGUF
+    - mradermacher/Hercules-6.0-Llama-3.1-8B-i1-GGUF
+    - kromeurus/L3.1-Clouded-Uchtave-v0.1-8B
+    - bartowski/Hercules-6.0-Llama-3.1-8B-GGUF
+    - mradermacher/L3.1-Clouded-Uchtave-v0.1-8B-i1-GGUF
+- - Lambent/arsenic-v1-qwen2.5-14B
+  - - mradermacher/arsenic-v1-qwen2.5-14B-i1-GGUF
+    - mradermacher/arsenic-v1-qwen2.5-14B-GGUF
+    - Lambent/arsenic-v1.5-dpo-qwen2.5-14B
+    - Lambent/arsenic-v1-qwen2.5-14B-Q4_K_M-GGUF
+    - Lambent/Eidolon-v1-14B
+  - - mradermacher/Eidolon-v1-14B-GGUF
+    - mradermacher/Eidolon-v1-14B-i1-GGUF
+    - mradermacher/arsenic-v1-qwen2.5-14B-GGUF
+    - mradermacher/arsenic-v1-qwen2.5-14B-i1-GGUF
+    - Lambent/arsenic-v1-qwen2.5-14B-Q4_K_M-GGUF
+    - Lambent/arsenic-v1.5-dpo-qwen2.5-14B-Q4_K_M-GGUF
+    - Lambent/arsenic-v1.5-dpo-qwen2.5-14B
+    - Lambent/Eidolon-v1-14B-Q4_K_M-GGUF
+    - Lambent/Eidolon-v1-14B
+- - wzebrowski/Llama3.1-8B-Reasoner-v0_3
+  - - mradermacher/Llama3.1-8B-Reasoner-v0_3-GGUF
+    - mradermacher/Llama3.1-8B-Reasoner-v0_3-i1-GGUF
+  - - mradermacher/Llama3.1-8B-Reasoner-v0_3-GGUF
+    - mradermacher/Llama3.1-8B-Reasoner-v0_3-i1-GGUF
+- - Jahid05/Gemma-2-2b-original-website-prompt-generator
+  - - Jahid05/Gemma-2-2b-original-website-prompt-generator-Q4_K_M-GGUF
+  - - Jahid05/Gemma-2-2b-original-website-prompt-generator-Q4_K_M-GGUF
+- - KB8407/Llama-3-KoEn-8B-Instruct-AIDOK
+  - - mradermacher/Llama-3-KoEn-8B-Instruct-AIDOK-GGUF
+  - - mradermacher/Llama-3-KoEn-8B-Instruct-AIDOK-GGUF
+- - north/uferdighemmeligmodell_llama31
+  - - north/uferdighemmeligmodell_llama31-Q4_K_M-GGUF
+  - - north/uferdighemmeligmodell_llama31-Q4_K_M-GGUF
+- - amir22010/fine_tuned_product_marketing_email_gemma_2_9b_model
+  - - amir22010/fine_tuned_product_marketing_email_gemma_2_9b_q4_k_m
+  - - amir22010/fine_tuned_product_marketing_email_gemma_2_9b_q4_k_m
+- - jeiku/instructered4B
+  - - FourOhFour/Crispy_Crab_4B
+    - QuantFactory/Crispy_Crab_4B-GGUF
+  - - mradermacher/Crispy_Crab_4B-GGUF
+    - QuantFactory/Crispy_Crab_4B-GGUF
+    - mradermacher/Crispy_Crab_4B-i1-GGUF
+    - FourOhFour/Crispy_Crab_4B
+- - jusKnows/pinaple-bnb-4bit
+  - - jusKnows/orange-q4_k_m-gguf
+    - jusKnows/orange-bnb-4bit
+  - - jusKnows/orange-q4_k_m-gguf
+    - jusKnows/orange-bnb-4bit
+- - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2
+  - - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-4e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-2e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-6e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter3
+  - - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-6e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-4e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter3
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-only2nd-2e-7
+    - RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter4

tables/ancestor_children.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11be37efa4ec06308eef3bd8912dae1a7853c7b2644bd6d8d60bdc8c73b37c57
+size 10939157

tables/datasets.example.yaml

@@ -37,214 +37,239 @@ datasets:
     - column: citation
       type: VARCHAR
   random_items:
-    - _id: 64c38c73a8de22f7a1a6c7e1
-      id: C-MTEB/EcomRetrieval-qrels
-      author: C-MTEB
-      cardData: {"configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "qid", "dtype": "string"}, {"name": "pid", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 27890, "num_examples": 1000}], "download_size": 14540, "dataset_size": 27890}}
+    - _id: 670c6014808ab5626f024866
+      id: mrs83/kurtis_mental_health_initial
+      author: mrs83
+      cardData: {"language": ["en"], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "dataset_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11631854, "num_examples": 11491}], "download_size": 5523582, "dataset_size": 11631854}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
       disabled: False
       gated: False
-      lastModified: 2023-07-28T09:37:58.000Z
+      lastModified: 2024-10-17T22:35:25.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 39c90699b034ec22ac45b3abf5b0bbb5ffd421f9
-      description: 
-	
-		
-	
-	
-		Dataset Card for "EcomRetrieval-qrels"
-	
-
-More Information needed
-
-      downloads: 2893
-      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2023-07-28T09:37:55.000Z
+      sha: df642e83a81f878f20698e8f1d4d5a72bd246a1b
+      description: None
+      downloads: 0
+      tags: ['language:en', 'size_categories:10K<n<100K', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-10-14T00:04:36.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 6571a64493ea01156d9c5f2b
-      id: topeomole/fin
-      author: topeomole
+    - _id: 6705aa23fc0a446f3828b487
+      id: PhdDz/BioASQBlurb_5_WITH_RELATION_vqc_hetionet
+      author: PhdDz
       cardData: None
       disabled: False
       gated: False
-      lastModified: 2023-12-29T08:49:31.000Z
+      lastModified: 2024-10-08T21:54:45.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 6e68c3a7cce23e0e650997d672fbef009b14af32
+      sha: dad09e125f900058d19d61bd271ae31da51a3a13
       description: None
       downloads: 0
-      tags: ['size_categories:10K<n<100K', 'format:csv', 'modality:text', 'library:datasets', 'library:dask', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2023-12-07T11:02:28.000Z
+      tags: ['size_categories:n<1K', 'format:json', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-10-08T21:54:43.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 659193db35c41262d6a53f71
-      id: greathero/evenmorex11-newthreeclass-newercontrailsvalidationdataset
-      author: greathero
-      cardData: {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 162552, "num_examples": 9}], "download_size": 38146, "dataset_size": 162552}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
+    - _id: 66224e1f57abf1be69a75bf8
+      id: baraah/test3
+      author: baraah
+      cardData: {"license": "unknown"}
       disabled: False
       gated: False
-      lastModified: 2023-12-31T19:12:42.000Z
+      lastModified: 2024-04-19T10:58:14.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: b7b5c1282518329689aba655335e218e79831e97
+      sha: 6b8100193e14e05868357832fedb1ee13370afb0
       description: None
       downloads: 0
-      tags: ['size_categories:n<1K', 'format:parquet', 'modality:image', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2023-12-31T16:16:27.000Z
+      tags: ['license:unknown', 'size_categories:n<1K', 'format:arrow', 'modality:text', 'library:datasets', 'library:mlcroissant', 'region:us']
+      createdAt: 2024-04-19T10:57:35.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 62d3dd1ac85b0fcf7fd98c9d
-      id: Maxmioti/GDRP-fines
-      author: Maxmioti
-      cardData: {"license": "other"}
+    - _id: 66f2d5543c2fc5c666fbd345
+      id: yifangong/split_candidate_dataset_part_3
+      author: yifangong
+      cardData: None
       disabled: False
       gated: False
-      lastModified: 2022-07-17T10:03:34.000Z
+      lastModified: 2024-09-24T15:17:47.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 85b9612b440ac0158d5722d0d45b849a012468ec
-      description: Opensource DataSet form a Kaggle competition https://www.kaggle.com/datasets/andreibuliga1/gdpr-fines-20182020-updated-23012021
-GDPR-fines is a dataset with summary of GDPR cases from companies that were find between 2018 and 2021. You will find the summary plus the Articles violated in the cases (3 most importants + "Others" regrouping the rest of articles).
-Raw text and lemmatized text available plus multi-labels.
-
+      sha: 929634d2c425a1f3f4f73e958fa4d80ca075030f
+      description: None
       downloads: 0
-      tags: ['license:other', 'size_categories:n<1K', 'format:csv', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2022-07-17T09:57:46.000Z
+      tags: ['size_categories:1K<n<10K', 'format:json', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-09-24T15:05:56.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 65f4980b0a4480a3d52dbbf3
-      id: reach-vb/mls-eng-10k-repunct-test-v4
-      author: reach-vb
-      cardData: {"dataset_info": {"features": [{"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "book_id", "dtype": "string"}, {"name": "repunct_text", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 2182587, "num_examples": 3807}], "download_size": 1221776, "dataset_size": 2182587}, "configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}]}]}
+    - _id: 6503a1fcd25ce81dfcd3bf3d
+      id: UniverseTBD/arxiv-bit-flip-cs.LG
+      author: UniverseTBD
+      cardData: {"dataset_info": {"features": [{"name": "bit", "dtype": "string"}, {"name": "flip", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "categories", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "authors", "dtype": "string"}, {"name": "doi", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 229044314, "num_examples": 100039}], "download_size": 127335112, "dataset_size": 229044314}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
       disabled: False
       gated: False
-      lastModified: 2024-03-15T18:48:45.000Z
+      lastModified: 2023-09-24T00:11:18.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 0f7c184d7e9f0f69babcca664bac0fcda107ef17
-      description: None
+      sha: 27e335094496235ca60ce4699913cddb0f151956
+      description: 
+	
+		
+	
+	
+		Dataset Card for "arxiv-bit-flip-cs.LG"
+	
+
+This dataset contains "Bit-Flips," structured representations extracted from the abstracts of ArXiv papers, specifically in the category of cs.LG (Machine Learning). These Bit-Flips aim to encapsulate the essence of the research by identifying the conventional belief or 'status quo' the abstract challenges (Bit) and the counterargument or innovative approach that flips the Bit (Flip).
+
+	
+		
+	
+	
+		Bit-Flip Concept
+	
+
+A Bit-Flip serves as a… See the full description on the dataset page: https://huggingface.co/datasets/UniverseTBD/arxiv-bit-flip-cs.LG.
       downloads: 0
-      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2024-03-15T18:48:43.000Z
+      tags: ['size_categories:100K<n<1M', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-09-15T00:14:52.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 661fa0bcb0e9b7e049a9202b
-      id: atluzz/train_doc_en_jsonl
-      author: atluzz
-      cardData: {"license": "apache-2.0"}
+    - _id: 6634b75562f76fd1804e4368
+      id: open-llm-leaderboard-old/details_Cesco2004__TW3CESCO.V2
+      author: open-llm-leaderboard-old
+      cardData: None
       disabled: False
       gated: False
-      lastModified: 2024-04-24T10:38:19.000Z
+      lastModified: 2024-05-03T10:07:34.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 5aba071b4fb548841207b134d5f22f981a3ba89b
+      sha: 8bb697ed40be7783a62296ab4ed9ec0855afd8ca
       description: None
       downloads: 0
-      tags: ['license:apache-2.0', 'size_categories:n<1K', 'format:json', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2024-04-17T10:13:16.000Z
+      tags: ['region:us']
+      createdAt: 2024-05-03T10:07:17.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 662ed2502e1ed663bc3570c9
-      id: leharris3/airline_reviews_servq
-      author: leharris3
-      cardData: {"license": "mit"}
+    - _id: 63b64340c5a5432fd86317b4
+      id: irds/mmarco_v2_fr_dev
+      author: irds
+      cardData: {"pretty_name": "`mmarco/v2/fr/dev`", "viewer": false, "source_datasets": ["irds/mmarco_v2_fr"], "task_categories": ["text-retrieval"], "language": ["fr"]}
       disabled: False
       gated: False
-      lastModified: 2024-04-30T00:16:58.000Z
+      lastModified: 2024-10-04T14:31:33.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: cf7deac5762779e544ed94d8445d074725d42cd3
-      description: None
+      sha: d8bce2de2fe67c7edfbfe4944fc9517ec7c6fec2
+      description: 
+	
+		
+	
+	
+		Dataset Card for mmarco/v2/fr/dev
+	
+
+The mmarco/v2/fr/dev dataset, provided by the ir-datasets package.
+For more information about the dataset, see the documentation.
+
+	
+		
+	
+	
+		Data
+	
+
+This dataset provides:
+
+queries (i.e., topics); count=101,093
+
+qrels: (relevance assessments); count=59,273
+
+For docs, use irds/mmarco_v2_fr
+
+
+
+	
+		
+	
+	
+		Usage
+	
+
+from datasets import load_dataset
+
+queries = load_dataset('irds/mmarco_v2_fr_dev', 'queries')
+for record in queries:
+    record #… See the full description on the dataset page: https://huggingface.co/datasets/irds/mmarco_v2_fr_dev.
       downloads: 0
-      tags: ['license:mit', 'size_categories:10K<n<100K', 'format:csv', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2024-04-28T22:48:48.000Z
+      tags: ['task_categories:text-retrieval', 'source_datasets:irds/mmarco_v2_fr', 'language:fr', 'arxiv:2108.13897', 'region:us']
+      createdAt: 2023-01-05T03:25:52.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 6670d2f2b0cc541843371fb4
-      id: rahulsikder223/SentEval-CR
-      author: rahulsikder223
-      cardData: {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 288477.7054304636, "num_examples": 2642}, {"name": "test", "num_bytes": 123711.29456953642, "num_examples": 1133}], "download_size": 246421, "dataset_size": 412189}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}]}
+    - _id: 651d7fe027f248c7abadc0ca
+      id: autoevaluate/autoeval-eval-imdb-plain_text-e61a98-47317145210
+      author: autoevaluate
+      cardData: None
       disabled: False
       gated: False
-      lastModified: 2024-06-18T00:40:19.000Z
+      lastModified: 2023-10-04T15:08:20.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: b092bc7763a0514f2c454d001abdfbf138a6be74
-      description: This is the SentEval Customer Reviews dataset which has been divided into train and test splits. Here, the labels are binary where 1 corresponds to 'Positive Reviews' and 0 corresponds to 'Negative Reviews'.
-
-      downloads: 18
-      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2024-06-18T00:21:06.000Z
+      sha: c6247ff8381adbb8b5ac19441aa2781a9628a4ec
+      description: None
+      downloads: 0
+      tags: ['region:us']
+      createdAt: 2023-10-04T15:08:16.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 6412397cbf081e031e9391a7
-      id: fathyshalab/reklamation24_wasser-strom-gas-intent
-      author: fathyshalab
-      cardData: {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 203230, "num_examples": 383}, {"name": "test", "num_bytes": 52516, "num_examples": 96}], "download_size": 142247, "dataset_size": 255746}}
+    - _id: 6577f1600e0d4703ffa89c1f
+      id: debadas/diamonds
+      author: debadas
+      cardData: {"license": "mit", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "stock_number", "dtype": "string"}, {"name": "shape", "dtype": "string"}, {"name": "carat", "dtype": "float64"}, {"name": "clarity", "dtype": "string"}, {"name": "colour", "dtype": "string"}, {"name": "cut", "dtype": "string"}, {"name": "polish", "dtype": "string"}, {"name": "symmetry", "dtype": "string"}, {"name": "fluorescence", "dtype": "string"}, {"name": "lab", "dtype": "string"}, {"name": "length", "dtype": "float64"}, {"name": "width", "dtype": "float64"}, {"name": "depth", "dtype": "float64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4796614925.89, "num_examples": 48765}], "download_size": 3319091745, "dataset_size": 4796614925.89}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
       disabled: False
       gated: False
-      lastModified: 2023-03-15T22:09:40.000Z
+      lastModified: 2023-12-12T06:33:23.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: c8d8322e9e75b8c81eb9b31eb4f4ad9a420f6dbb
-      description: 
-	
-		
-	
-	
-		Dataset Card for "reklamation24_wasser-strom-gas-intent"
-	
-
-More Information needed
-
-      downloads: 0
-      tags: ['size_categories:n<1K', 'format:parquet', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
-      createdAt: 2023-03-15T21:32:44.000Z
+      sha: ef6f3d675fce2fc89e9b90009d4f9a760d54497a
+      description: None
+      downloads: 2
+      tags: ['license:mit', 'size_categories:10K<n<100K', 'format:parquet', 'modality:image', 'modality:text', 'library:datasets', 'library:dask', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-12-12T05:36:32.000Z
       key: 
       paperswithcode_id: None
       citation: None
-    - _id: 66071d3e8ea886bc670da278
-      id: BangumiBase/saijakutamerwagomihiroinotabiwohajimemashita
-      author: BangumiBase
-      cardData: {"license": "mit", "tags": ["art"], "size_categories": ["1K<n<10K"]}
+    - _id: 65a9cbb30150f64adf7977c7
+      id: MetalZuna/System_Prompts
+      author: MetalZuna
+      cardData: {"license": "mit"}
       disabled: False
       gated: False
-      lastModified: 2024-03-30T01:28:15.000Z
-      likes: 0
+      lastModified: 2024-01-19T01:14:37.000Z
+      likes: 3
       trendingScore: 0.0
       private: False
-      sha: ecf08621c8d5dc8d1051abdad6568f99e20b9bd0
-      description: 
-	
-		
-	
-	
-		Bangumi Image Base of Saijaku Tamer Wa Gomi Hiroi No Tabi Wo Hajimemashita
-	
-
-This is the image base of bangumi Saijaku Tamer wa Gomi Hiroi no Tabi wo Hajimemashita, we detected 81 characters, 6058 images in total. The full dataset is here.
-Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/saijakutamerwagomihiroinotabiwohajimemashita.
-      downloads: 0
-      tags: ['license:mit', 'size_categories:1K<n<10K', 'modality:image', 'region:us', 'art']
-      createdAt: 2024-03-29T19:57:50.000Z
+      sha: 3728325044250993ea7403f7a5833ee8514f5c38
+      description: None
+      downloads: 1
+      tags: ['license:mit', 'size_categories:n<1K', 'format:csv', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-01-19T01:09:07.000Z
       key: 
       paperswithcode_id: None
       citation: None

tables/datasets.parquet

@@ -1,3 +1,3 @@
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-size 123482092
+oid sha256:7fa0495eee23f37b85e9355de85e9e6c151b3f0d862aa584e247f3867d9921db
+size 124006943

tables/models.example.yaml

@@ -37,183 +37,183 @@ models:
     - column: siblings
       type: STRUCT(rfilename VARCHAR)[]
   random_items:
-    - _id: 66321a3e7d91899de9021e46
-      id: miittnnss/portrait-ddim
-      author: miittnnss
+    - _id: 66cf51339e9ede3997dcb735
+      id: Qilan2/box
+      author: Qilan2
       gated: False
       inference: library-not-detected
-      lastModified: 2024-05-01T10:32:31.000Z
+      lastModified: 2024-09-08T16:06:43.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 44692f50ff19ce315581579f0f52b99a6c36b76a
+      sha: 1e757396cfe5e44edc0963d1b163e259f1b3c954
       config: None
       downloads: 0
-      tags: ['region:us']
+      tags: ['license:mit', 'region:us']
       pipeline_tag: None
       library_name: None
-      createdAt: 2024-05-01T10:32:30.000Z
-      modelId: miittnnss/portrait-ddim
-      siblings: [{'rfilename': '.gitattributes'}]
-    - _id: 66b8dabd8016acd77e3d7e18
-      id: shayekh/aya8b-distillkit-logits
-      author: shayekh
+      createdAt: 2024-08-28T16:32:51.000Z
+      modelId: Qilan2/box
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'CF_Tunnel/a403a5b0-a6ec-4813-a84a-1d8a65469329.json'}, {'rfilename': 'CF_Tunnel/cert.pem'}, {'rfilename': 'CF_Tunnel/config.yml'}, {'rfilename': 'README.md'}, {'rfilename': 'frp/a.txt'}, {'rfilename': 'frp/frpc'}, {'rfilename': 'vpsgj/a.txt'}, {'rfilename': 'vpsgj/install.sh'}, {'rfilename': 'vpsgj/node.db'}]
+    - _id: 6428dff36e9ac4c7a777ad29
+      id: vitaorganization/eqwewqewq
+      author: vitaorganization
       gated: False
       inference: library-not-detected
-      lastModified: 2024-08-11T20:09:50.000Z
+      lastModified: 2023-04-02T01:52:51.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 22c2dda1271718c412366b58923f352468ff3847
+      sha: b0049684bcdca0b30d8cb4e7bb659ee5f393007d
       config: None
       downloads: 0
-      tags: ['safetensors', 'license:cc-by-nc-4.0', 'region:us']
-      pipeline_tag: None
-      library_name: None
-      createdAt: 2024-08-11T15:37:33.000Z
-      modelId: shayekh/aya8b-distillkit-logits
-      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'checkpoint-1000/added_tokens.json'}, {'rfilename': 'checkpoint-1000/config.json'}, {'rfilename': 'checkpoint-1000/generation_config.json'}, {'rfilename': 'checkpoint-1000/merges.txt'}, {'rfilename': 'checkpoint-1000/model.safetensors'}, {'rfilename': 'checkpoint-1000/optimizer.pt'}, {'rfilename': 'checkpoint-1000/rng_state.pth'}, {'rfilename': 'checkpoint-1000/scheduler.pt'}, {'rfilename': 'checkpoint-1000/special_tokens_map.json'}, {'rfilename': 'checkpoint-1000/tokenizer.json'}, {'rfilename': 'checkpoint-1000/tokenizer_config.json'}, {'rfilename': 'checkpoint-1000/trainer_state.json'}, {'rfilename': 'checkpoint-1000/training_args.bin'}, {'rfilename': 'checkpoint-1000/vocab.json'}, {'rfilename': 'checkpoint-2000/added_tokens.json'}, {'rfilename': 'checkpoint-2000/config.json'}, {'rfilename': 'checkpoint-2000/generation_config.json'}, {'rfilename': 'checkpoint-2000/merges.txt'}, {'rfilename': 'checkpoint-2000/model.safetensors'}, {'rfilename': 'checkpoint-2000/optimizer.pt'}, {'rfilename': 'checkpoint-2000/rng_state.pth'}, {'rfilename': 'checkpoint-2000/scheduler.pt'}, {'rfilename': 'checkpoint-2000/special_tokens_map.json'}, {'rfilename': 'checkpoint-2000/tokenizer.json'}, {'rfilename': 'checkpoint-2000/tokenizer_config.json'}, {'rfilename': 'checkpoint-2000/trainer_state.json'}, {'rfilename': 'checkpoint-2000/training_args.bin'}, {'rfilename': 'checkpoint-2000/vocab.json'}, {'rfilename': 'checkpoint-3000/added_tokens.json'}, {'rfilename': 'checkpoint-3000/config.json'}, {'rfilename': 'checkpoint-3000/generation_config.json'}, {'rfilename': 'checkpoint-3000/merges.txt'}, {'rfilename': 'checkpoint-3000/model.safetensors'}, {'rfilename': 'checkpoint-3000/optimizer.pt'}, {'rfilename': 'checkpoint-3000/rng_state.pth'}, {'rfilename': 'checkpoint-3000/scheduler.pt'}, {'rfilename': 'checkpoint-3000/special_tokens_map.json'}, {'rfilename': 'checkpoint-3000/tokenizer.json'}, {'rfilename': 'checkpoint-3000/tokenizer_config.json'}, {'rfilename': 'checkpoint-3000/trainer_state.json'}, {'rfilename': 'checkpoint-3000/training_args.bin'}, {'rfilename': 'checkpoint-3000/vocab.json'}, {'rfilename': 'checkpoint-4000/added_tokens.json'}, {'rfilename': 'checkpoint-4000/config.json'}, {'rfilename': 'checkpoint-4000/generation_config.json'}, {'rfilename': 'checkpoint-4000/merges.txt'}, {'rfilename': 'checkpoint-4000/model.safetensors'}, {'rfilename': 'checkpoint-4000/optimizer.pt'}, {'rfilename': 'checkpoint-4000/rng_state.pth'}, {'rfilename': 'checkpoint-4000/scheduler.pt'}, {'rfilename': 'checkpoint-4000/special_tokens_map.json'}, {'rfilename': 'checkpoint-4000/tokenizer.json'}, {'rfilename': 'checkpoint-4000/tokenizer_config.json'}, {'rfilename': 'checkpoint-4000/trainer_state.json'}, {'rfilename': 'checkpoint-4000/training_args.bin'}, {'rfilename': 'checkpoint-4000/vocab.json'}, {'rfilename': 'checkpoint-5000/added_tokens.json'}, {'rfilename': 'checkpoint-5000/config.json'}, {'rfilename': 'checkpoint-5000/generation_config.json'}, {'rfilename': 'checkpoint-5000/merges.txt'}, {'rfilename': 'checkpoint-5000/model.safetensors'}, {'rfilename': 'checkpoint-5000/optimizer.pt'}, {'rfilename': 'checkpoint-5000/rng_state.pth'}, {'rfilename': 'checkpoint-5000/scheduler.pt'}, {'rfilename': 'checkpoint-5000/special_tokens_map.json'}, {'rfilename': 'checkpoint-5000/tokenizer.json'}, {'rfilename': 'checkpoint-5000/tokenizer_config.json'}, {'rfilename': 'checkpoint-5000/trainer_state.json'}, {'rfilename': 'checkpoint-5000/training_args.bin'}, {'rfilename': 'checkpoint-5000/vocab.json'}, {'rfilename': 'checkpoint-6000/added_tokens.json'}, {'rfilename': 'checkpoint-6000/config.json'}, {'rfilename': 'checkpoint-6000/generation_config.json'}, {'rfilename': 'checkpoint-6000/merges.txt'}, {'rfilename': 'checkpoint-6000/model.safetensors'}, {'rfilename': 'checkpoint-6000/optimizer.pt'}, {'rfilename': 'checkpoint-6000/rng_state.pth'}, {'rfilename': 'checkpoint-6000/scheduler.pt'}, {'rfilename': 'checkpoint-6000/special_tokens_map.json'}, {'rfilename': 'checkpoint-6000/tokenizer.json'}, {'rfilename': 'checkpoint-6000/tokenizer_config.json'}, {'rfilename': 'checkpoint-6000/trainer_state.json'}, {'rfilename': 'checkpoint-6000/training_args.bin'}, {'rfilename': 'checkpoint-6000/vocab.json'}]
-    - _id: 66d6d98a673a350b18b7309b
-      id: athirdpath/Aeonis-20b
-      author: athirdpath
-      gated: False
-      inference: library-not-detected
-      lastModified: 2024-09-08T03:28:52.000Z
-      likes: 2
-      trendingScore: 0.2
-      private: False
-      sha: 5e421f2b5781055bbc5eb00d9d7fba8250348c45
-      config: {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if 'role' in messages[0] %}{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% if messages[1]['role'] == 'user' %}{{ '[INST] ' + messages[0]['content'] + ' ' + messages[1]['content'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['content'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% else %}{{ bos_token }}{% if messages[0]['from'] == 'system' %}{% if messages[1]['from'] == 'human' %}{{ '[INST] ' + messages[0]['value'] + ' ' + messages[1]['value'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['value'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['from'] == 'human' %}{{ '[INST] ' + message['value'] + ' [/INST]' }}{% elif message['from'] == 'gpt' %}{{ message['value'] + eos_token }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<pad>", "unk_token": "<unk>"}}
-      downloads: 1
-      tags: ['safetensors', 'mistral', 'not-for-all-audiences', 'license:apache-2.0', 'region:us']
+      tags: ['region:us']
       pipeline_tag: None
       library_name: None
-      createdAt: 2024-09-03T09:40:26.000Z
-      modelId: athirdpath/Aeonis-20b
-      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'config.json'}, {'rfilename': 'generation_config.json'}, {'rfilename': 'model-00001-of-00009.safetensors'}, {'rfilename': 'model-00002-of-00009.safetensors'}, {'rfilename': 'model-00003-of-00009.safetensors'}, {'rfilename': 'model-00004-of-00009.safetensors'}, {'rfilename': 'model-00005-of-00009.safetensors'}, {'rfilename': 'model-00006-of-00009.safetensors'}, {'rfilename': 'model-00007-of-00009.safetensors'}, {'rfilename': 'model-00008-of-00009.safetensors'}, {'rfilename': 'model-00009-of-00009.safetensors'}, {'rfilename': 'model.safetensors.index.json'}, {'rfilename': 'special_tokens_map.json'}, {'rfilename': 'tokenizer.json'}, {'rfilename': 'tokenizer_config.json'}]
-    - _id: 66fda60e52e2309fb9ca6ceb
-      id: aliihnuhnu/mohammeed
-      author: aliihnuhnu
+      createdAt: 2023-04-02T01:52:51.000Z
+      modelId: vitaorganization/eqwewqewq
+      siblings: [{'rfilename': '.gitattributes'}]
+    - _id: 66b85156c689a131a09bc4d3
+      id: cookli/ai
+      author: cookli
       gated: False
       inference: library-not-detected
-      lastModified: 2024-10-02T19:59:10.000Z
+      lastModified: 2024-08-11T05:51:18.000Z
       likes: 0
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-      id: alluredreamer/Qwen-Qwen1.5-0.5B-1726379822
-      author: alluredreamer
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+      config: None
+      downloads: 4
+      tags: ['diffusers', 'tensorboard', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'lora', 'base_model:runwayml/stable-diffusion-v1-5', 'base_model:adapter:runwayml/stable-diffusion-v1-5', 'license:creativeml-openrail-m', 'region:us']
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+      library_name: diffusers
+      createdAt: 2023-05-24T15:47:40.000Z
+      modelId: Smoden/newest_Alice_mix_wizard_mix_Narnia_Grimm_diff_lora_v3
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+      id: RichardErkhov/hongzoh_-_Yi-6B_Open-Platypus-v2-gguf
+      author: RichardErkhov
       gated: False
-      inference: pipeline-not-detected
-      lastModified: 2024-09-15T05:57:08.000Z
+      inference: library-not-detected
+      lastModified: 2024-08-19T08:26:43.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: d77cf7b9907b796325e8d33f95e91c7992218f9d
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-      tags: ['peft', 'safetensors', 'arxiv:1910.09700', 'base_model:Qwen/Qwen1.5-0.5B', 'base_model:adapter:Qwen/Qwen1.5-0.5B', 'region:us']
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+      config: None
+      downloads: 152
+      tags: ['gguf', 'region:us']
       pipeline_tag: None
-      library_name: peft
-      createdAt: 2024-09-15T05:57:03.000Z
-      modelId: alluredreamer/Qwen-Qwen1.5-0.5B-1726379822
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-    - _id: 64e8716da7c3693a8be57ecd
-      id: SkippyLean/Super_Wario_Man
-      author: SkippyLean
+      library_name: None
+      createdAt: 2024-08-19T07:22:21.000Z
+      modelId: RichardErkhov/hongzoh_-_Yi-6B_Open-Platypus-v2-gguf
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.IQ3_M.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.IQ3_S.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.IQ3_XS.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.IQ4_NL.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.IQ4_XS.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q2_K.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q3_K.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q3_K_L.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q3_K_M.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q3_K_S.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q4_0.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q4_1.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q4_K.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q4_K_M.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q4_K_S.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q5_0.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q5_1.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q5_K.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q5_K_M.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q5_K_S.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q6_K.gguf'}, {'rfilename': 'Yi-6B_Open-Platypus-v2.Q8_0.gguf'}]
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+      id: geese92xg2xg/opxWwyCui6
+      author: geese92xg2xg
       gated: False
       inference: library-not-detected
-      lastModified: 2023-08-25T09:17:20.000Z
+      lastModified: 2022-12-30T20:13:17.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 83f6a38e4476b9f7b43cdc2451d10f4c73fc0ce2
+      sha: 38de64243d1dcf1c7f45103f971dc557145df06f
       config: None
       downloads: 0
-      tags: ['license:openrail', 'region:us']
+      tags: ['region:us']
       pipeline_tag: None
       library_name: None
-      createdAt: 2023-08-25T09:16:29.000Z
-      modelId: SkippyLean/Super_Wario_Man
-      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'SuperWarioMan.zip'}]
-    - _id: 65b0554d165e69e0e696b389
-      id: alre5639/full_rgbd_unet_512_more_pointnet
-      author: alre5639
+      createdAt: 2022-12-30T20:13:00.000Z
+      modelId: geese92xg2xg/opxWwyCui6
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'One-P_517.mp4'}]
+    - _id: 66abac57ff7021fd06633671
+      id: Krabat/Qwen-Qwen1.5-1.8B-1722526807
+      author: Krabat
       gated: False
       inference: pipeline-not-detected
-      lastModified: 2024-02-07T16:31:48.000Z
+      lastModified: 2024-08-01T15:40:09.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: bcbb675abcf0013d22c14653d3b6c74e2a9ab494
-      config: {}
-      downloads: 572
-      tags: ['diffusers', 'safetensors', 'region:us']
+      sha: a6fc1239b31318cc21e0a62ba5f9070176361ec5
+      config: {"tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": null}, "peft": {"base_model_name_or_path": "Qwen/Qwen1.5-1.8B", "task_type": "CAUSAL_LM"}}
+      downloads: 0
+      tags: ['peft', 'safetensors', 'arxiv:1910.09700', 'base_model:Qwen/Qwen1.5-1.8B', 'base_model:adapter:Qwen/Qwen1.5-1.8B', 'region:us']
       pipeline_tag: None
-      library_name: diffusers
-      createdAt: 2024-01-24T00:09:49.000Z
-      modelId: alre5639/full_rgbd_unet_512_more_pointnet
-      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'config.json'}, {'rfilename': 'diffusion_pytorch_model.safetensors'}]
-    - _id: 64c83976d33e6a7f82921baa
-      id: caveli/vit_model
-      author: caveli
+      library_name: peft
+      createdAt: 2024-08-01T15:40:07.000Z
+      modelId: Krabat/Qwen-Qwen1.5-1.8B-1722526807
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'adapter_config.json'}, {'rfilename': 'adapter_model.safetensors'}, {'rfilename': 'added_tokens.json'}, {'rfilename': 'merges.txt'}, {'rfilename': 'special_tokens_map.json'}, {'rfilename': 'tokenizer.json'}, {'rfilename': 'tokenizer_config.json'}, {'rfilename': 'training_args.bin'}, {'rfilename': 'vocab.json'}]
+    - _id: 63b5bbd6c5a5432fd85a56a6
+      id: imselimdizer/opus-mt-en-ro-finetuned-en-to-ro
+      author: imselimdizer
       gated: False
       inference: library-not-detected
-      lastModified: 2023-07-31T22:45:10.000Z
+      lastModified: 2023-01-04T17:48:06.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 646bd646f0795dab8741ff57eb5b658e12f96edf
+      sha: f8c44f97ce7893c936fe01e76f524cd485575c58
       config: None
       downloads: 0
       tags: ['region:us']
       pipeline_tag: None
       library_name: None
-      createdAt: 2023-07-31T22:45:10.000Z
-      modelId: caveli/vit_model
+      createdAt: 2023-01-04T17:48:06.000Z
+      modelId: imselimdizer/opus-mt-en-ro-finetuned-en-to-ro
       siblings: [{'rfilename': '.gitattributes'}]
-    - _id: 645af48edbf60d3733668304
-      id: dxli/shiny_sneaker
-      author: dxli
+    - _id: 66840a33e2e0c3b21509d075
+      id: hichemzahaf/Commersco
+      author: hichemzahaf
       gated: False
-      inference: not-popular-enough
-      lastModified: 2023-05-10T02:26:22.000Z
+      inference: library-not-detected
+      lastModified: 2024-07-02T14:09:55.000Z
       likes: 0
       trendingScore: 0.0
       private: False
-      sha: 73716d247713e3c2b4fe9956fbcf77dda132bba5
-      config: {"diffusers": {"_class_name": "StableDiffusionPipeline"}}
-      downloads: 24
-      tags: ['diffusers', 'tensorboard', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'textual_inversion', 'base_model:runwayml/stable-diffusion-v1-5', 'base_model:adapter:runwayml/stable-diffusion-v1-5', 'license:creativeml-openrail-m', 'autotrain_compatible', 'endpoints_compatible', 'diffusers:StableDiffusionPipeline', 'region:us']
-      pipeline_tag: text-to-image
-      library_name: diffusers
-      createdAt: 2023-05-10T01:34:06.000Z
-      modelId: dxli/shiny_sneaker
-      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'checkpoint-1000/optimizer.bin'}, {'rfilename': 'checkpoint-1000/pytorch_model.bin'}, {'rfilename': 'checkpoint-1000/random_states_0.pkl'}, {'rfilename': 'checkpoint-1000/scheduler.bin'}, {'rfilename': 'checkpoint-2000/optimizer.bin'}, {'rfilename': 'checkpoint-2000/pytorch_model.bin'}, {'rfilename': 'checkpoint-2000/random_states_0.pkl'}, {'rfilename': 'checkpoint-2000/scheduler.bin'}, {'rfilename': 'checkpoint-3000/optimizer.bin'}, {'rfilename': 'checkpoint-3000/pytorch_model.bin'}, {'rfilename': 'checkpoint-3000/random_states_0.pkl'}, {'rfilename': 'checkpoint-3000/scheduler.bin'}, {'rfilename': 'feature_extractor/preprocessor_config.json'}, {'rfilename': 'learned_embeds-steps-1000.bin'}, {'rfilename': 'learned_embeds-steps-1500.bin'}, {'rfilename': 'learned_embeds-steps-2000.bin'}, {'rfilename': 'learned_embeds-steps-2500.bin'}, {'rfilename': 'learned_embeds-steps-3000.bin'}, {'rfilename': 'learned_embeds-steps-500.bin'}, {'rfilename': 'learned_embeds.bin'}, {'rfilename': 'logs/textual_inversion/1683682453.9815822/events.out.tfevents.1683682453.sfr-pod-li-d-a100-8.1441039.1'}, {'rfilename': 'logs/textual_inversion/1683682454.001962/hparams.yml'}, {'rfilename': 'logs/textual_inversion/events.out.tfevents.1683682453.sfr-pod-li-d-a100-8.1441039.0'}, {'rfilename': 'model_index.json'}, {'rfilename': 'safety_checker/config.json'}, {'rfilename': 'safety_checker/pytorch_model.bin'}, {'rfilename': 'scheduler/scheduler_config.json'}, {'rfilename': 'text_encoder/config.json'}, {'rfilename': 'text_encoder/pytorch_model.bin'}, {'rfilename': 'tokenizer/added_tokens.json'}, {'rfilename': 'tokenizer/merges.txt'}, {'rfilename': 'tokenizer/special_tokens_map.json'}, {'rfilename': 'tokenizer/tokenizer_config.json'}, {'rfilename': 'tokenizer/vocab.json'}, {'rfilename': 'unet/config.json'}, {'rfilename': 'unet/diffusion_pytorch_model.bin'}, {'rfilename': 'vae/config.json'}, {'rfilename': 'vae/diffusion_pytorch_model.bin'}]
+      sha: e86012a0856429c0d5f327c6745e4565db2e4cb4
+      config: None
+      downloads: 0
+      tags: ['license:lgpl-3.0', 'region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2024-07-02T14:09:55.000Z
+      modelId: hichemzahaf/Commersco
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}]
+    - _id: 64e757e9e9fc9d0475f7012c
+      id: ailabturkiye/Yuumi500Epoch
+      author: ailabturkiye
+      gated: False
+      inference: library-not-detected
+      lastModified: 2023-08-24T13:19:22.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 5f592731e23a3f3e327ddf1add5bd0508345e311
+      config: None
+      downloads: 0
+      tags: ['license:openrail', 'region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2023-08-24T13:15:21.000Z
+      modelId: ailabturkiye/Yuumi500Epoch
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'Yuumi.zip'}]

tables/models.parquet

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 version https://git-lfs.github.com/spec/v1
-oid sha256:470d6308de2a2782797fd3dc7446b471f2f6b687943c6613515e05e5715b7672
-size 293173339
+oid sha256:754a7b4c2d0a78ce24d0ee73b23981edf1234b747d46d8462bef73d81971bd7a
+size 293637352

tables/parents.example.yaml

@@ -0,0 +1,31 @@
+- - 665e24a2a57b277d7ad1efc7
+  - powermove72/GK-MoE-0.1
+  - - argilla/notus-7b-v1
+    - GritLM/GritLM-7B
+- - 66f24dbcea33ea049640b3fd
+  - tanoManzo/nucleotide-transformer-2.5b-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC
+  - - InstaDeepAI/nucleotide-transformer-2.5b-multi-species
+- - 66f0a9640efe838083fd5940
+  - Krabat/google-gemma-2b-1727048036
+  - - google/gemma-2b
+- - 66ea446e1654494d77d57887
+  - huazi123/Qwen-Qwen1.5-0.5B-1726628976
+  - - Qwen/Qwen1.5-0.5B
+- - 667b1b708d744351bfbda26f
+  - SAlonsoGar/GGUFTrainedGamification
+  - - meta-llama/Llama-2-7b-hf
+- - 66d2b514ad293ffc4b5aa798
+  - linger2334/Qwen-Qwen1.5-1.8B-1725084944
+  - - Qwen/Qwen1.5-1.8B
+- - 66c44accab8f09b10b75dc83
+  - jerseyjerry/google-gemma-2b-1724140236
+  - - google/gemma-2b
+- - 64ee58d7c392a3e66bd2dc62
+  - ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_synonym-1
+  - - FacebookAI/xlm-roberta-base
+- - 660a65708695a785edd47ce4
+  - mradermacher/RedDevil-7B-GGUF
+  - - yusukewm/RedDevil-7B
+- - 66eb2aef5ee90db899613a33
+  - vislupus/SD1.5-LoRA-Loving-Vincent-Style
+  - - GraydientPlatformAPI/realcartoon-real17

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tables/spaces.example.yaml

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     - column: siblings
       type: STRUCT(rfilename VARCHAR)[]
   random_items:
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-      id: yeecin/ocr-demo
-      author: yeecin
-      cardData: {"title": "Ocr Demo", "emoji": "\ud83c\udf0d", "colorFrom": "pink", "colorTo": "green", "sdk": "gradio", "sdk_version": "4.41.0", "app_file": "app.py", "pinned": false}
-      lastModified: 2024-08-12T03:58:44.000Z
+    - _id: 667549579f2810b009630f2a
+      id: Quittt/twikoo
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