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README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

coldkey.txt

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config.json

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+  "torch_dtype": "float16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+  }
+}

model/obfuscated/pipeline.py

@@ -0,0 +1,3 @@
+# Pyarmor 8.5.11 (trial), 000000, non-profits, 2025-01-13T16:20:09.307286
+from pyarmor_runtime_000000 import __pyarmor__
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model/obfuscated/prompts.py

@@ -0,0 +1,3 @@
+# Pyarmor 8.5.11 (trial), 000000, non-profits, 2025-01-13T16:20:09.310095
+from pyarmor_runtime_000000 import __pyarmor__
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model/obfuscated/pyarmor_runtime_000000/__init__.py

@@ -0,0 +1,3 @@
+# Pyarmor 8.5.11 (trial), 000000, non-profits, 2025-01-13T16:20:09.312365
+from pyarmor_runtime_000000 import __pyarmor__
+__pyarmor__(__name__, __file__, b"PY000000\x00\x03\x0b\x00\xa7\r\r\n\x80\x00\x01\x00\x08\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00 \x02\x00\x00\x12\t\x04\x00G|\x9e\x94\x17\xf9\x1b\xbb\x8f\xe4\x9a\x1b\x0eON\xac\x00\x00\x00\x00\x00\x00\x00\x00\x05\x89\xe1p|\x80T\x83\xd0\x81\tk\x03S\xa8\xc5B\x0b\x86\x1fS\xa5S\xdf\xe3\xcc\xce\x89*\x18y\xf8\xe0\xad\xb8\x19!\xc3v\x05\xa6\x0c\x84RI\x84\xa4T\x8ei\x0bb\x98\x0b3\x8b\xb1\xff\n\xc5\xf9\x9a\x11\xe4\x89*wOPT\x94u\x02\xdb\x00\xf2o\xb7%\xc8o\xf6~\x1f\xf9\xf0\x9b\xd7F\x8a\x1f\x7f,\xc3S\xe7\x14\xe6\x07\xfc.,\x9e\xdb\x0e*s}kl\x89.\xb9[G\xc4e\x00MW\x08\x92\x0cu\xf6z\xfaE\xc1R\x04\xc3,\xfa\x03XABG\xb0\x8f\xf5\xa4\xab\xa6\x88\x0b\xc8\xef\x08\xc6y\xbd)^\xae\xd0XSt\x05\x01\xb7N\xdc7\xeb\xdfb\xa88\xf9\xf1wt\xbc\x04Z\x8f\x99[\x8co\xa8\xf1\x951CT\xe3\xce\x1e\rf\x1e\xe0\xa5!MTZ\r\xd2m\xfa\x9fz8\xf1\xdb\xfd\xf3\x8f]2\xe1\xce\xb6+u\xda\x16\x86rQ\xb8\xb7\xfc\xd4.%[j\xe8\x1f\xa8JBm\t\xf5\xb3\xc1c\xb7y\x7f\xc5\x8e7\xfd\xb2K\xdd\xb2\xb7\x84\xb8\xd8\x90q\xb0\x84\xc3\xae\xb7P`\xb8o\xafFlt\x93\x84\xe6/\xdc\xc0\xf0:Ms\xe8\x17\x97T| `\xacR;\x01\xe4 \x9e%\x01&\x1cr\x7fTgEJ@\xa1\xf2\x1e\xad\t\xe1\xb9\xd0\xfa\x16N(\xb1\xd1=+\x88\xba\x1f8\x10\xb8\xca'\xe2\xd0\xb1\x836\xf1e7\xb7\x1cve\xbc\x81*r$\xdb\xa1[\xe2,\xbcC\xdd\xdd\xb9\xcc\x9e\xbc\x10\x7f\xe2\x01\xf3\x8dX*z\xf2\x85\x93\x03*o\xcc\xf5-\x89\xcb\xae-\x9dj\x11\xee\xd3.\xbc\xd4IZ\xdd\xd3\x98\x8f\x1c\xf2\x03e\x97\x9fU\x8d\xb9L:\x15\xab8p\xf6H\x9b\xf2\xd6l\xa1C.\xcc\x05q\x12\xdf\xd5]\x9dk\x95\x13\x80\xbe*Z\x9c0>\xcc\x9d;\x0f8\x8a\no\x92\xd2NA\xff\xdf\x99\xcf0\xe2\xf5\x12\x14T\xec\x84{\x90C\x1f{\xb0\xff\xd5\x8e\x1a5\x01\x06\x90\x08,\xd5\x07\x8f\x9e\xa8Y\x99\x08\x94\xf2\xb5\xb5\x9e+y\x82\x06\xa1\xfe\x0c:\x81\xc7\xf3\x01f\xd0=v\x86\x00r\xda\xed\xb5\x1d\xe26\xd3C\xb0\xff\x86\x8f\xf3\xdc\xe7A\xc9U\xcf\x16:\xb8\xab\xc6\xf8\xad\xedPS\xdc\xf3")

model/pipeline.py

@@ -0,0 +1,3 @@
+# Pyarmor 8.5.11 (trial), 000000, non-profits, 2025-01-13T16:20:09.301436
+from pyarmor_runtime_000000 import __pyarmor__
+__pyarmor__(__name__, __file__, b'PY000000\x00\x03\x0b\x00\xa7\r\r\n\x80\x00\x01\x00\x08\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00\x8a7\x00\x00\x12\t\x04\x00\xe3FSH@\x0b\xd3m\xa4\xe5=\xa6\xca\xaeK\x9f\x00\x00\x00\x00\x00\x00\x00\x005\xa3\x10\x87\xae\x02ZN\x00P\xa7j\xda]:\x05\x1b\xbb!q\xd6\x8f\xca\x15gSG\xfb\xa91\xfd9C\x16\xcb\x9f*\x8a\xa13\x86\xbc\x9d\x95\xb3\xc8\xf8HYG\xd7\xb0\x05m\xea}\x0cei\xe7|4\xceu\xbc:\xaa\xe9\x96\xe4\xbb5\xf9\xb9\x9b\xa6\xec\xf7\n\x05\xcb\xe7)\xf3\x92D\x01\xa0W\xef\xec\xac\xa5F"pA\x03\xb3\x9bI\xe6\xbe\xbaY\xc8\xe5\xf27\xfc\xdb\xfe\xa4\xf8\x86~y\x8f\xe3\x99\xd5GFgN\x82\x1e6\xae\xd1%\x88\x8d\x96\x1e\xe3\xe3\x82\x8cn\xcbw(\x91L-\x00\x89v\xd9-\x94}\x06u\x81\xbb\xa6\x85\x853\x11\xb9\x1aq:\xad\xa1\xcf\xf5lz\x1f]\x1a\xbe\x0b\xa9\x88,\xd0\xfa~>o\x89\xee\x91D\xf1\x90\xe9\xb0V\xbcI\xb4\x13\x90\x1cE\xe1W\xa2\xff\xb5X\xc4>m;wm\xcb\xe3\x93\xb9\xa7(F\xae\xda\xb0\xb9\xa6\x0f\x89\x00\xb9\xa4\xa6\xd5(\x84Wf\x04\x8fX\xeb\xf1\t\xc4\x07\xc9WXY\xc93\xda\x9d!\xe5\xd2\xfdDc\xb2X.\xfb\xc46\x9d\x86\xe0\t\xe0\x92q\xc7X\n\xb4\x98\xdbN\x9a 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model/prompts.py

@@ -0,0 +1,3 @@
+# Pyarmor 8.5.11 (trial), 000000, non-profits, 2025-01-13T16:20:09.304206
+from pyarmor_runtime_000000 import __pyarmor__
+__pyarmor__(__name__, __file__, b'PY000000\x00\x03\x0b\x00\xa7\r\r\n\x80\x00\x01\x00\x08\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00e\x1e\x00\x00\x12\t\x04\x00Bp\xb0$B\xfd,\xbfp\xd5\\iu\xf1a\xb2\x00\x00\x00\x00\x00\x00\x00\x00\xed^\xaeb%\xae\x8dFm\xef\xb43\x8di\x00\x8a\xeb\x0b\xec\xd3\xa9\xe3QK\x7f\xec"\x82v\xec\xb9\xae-\xa6;\xbcu\x9e\xc5\x84\xc4Hs`5\xaa\th\xfa\xc7\xc2\xcfl\x14\x1c\xdeu\xd2\x11LI\xb7:\xc7\xb0\x900t \xb0\x9a\x17\xe2\x0bEm\x7f\xc9\xbd\x9cE\x9b\x05\xd2\x16\x19\\\xa7\xdb2\xa6\xb2\x1eGYE\xd3B\x1e)\xf4\x98Zw=\x0eA26\xa1\xe9\xe8\xf3X\xbbP\x14\x87\xe0\xdd\x16:) 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pyarmor_runtime_000000/__init__.py

@@ -0,0 +1,2 @@
+# Pyarmor 8.5.11 (trial), 000000, 2025-01-13T16:20:09.281351
+from .pyarmor_runtime import __pyarmor__

pyarmor_runtime_000000/pyarmor_runtime.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07b0c015172f1ffb2906ab136944dd4a4cd56231dd5740ffe73c516a27a3b6c1
+size 788264

special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920

tokenizer_config.json

@@ -0,0 +1,2063 @@
+{
+  "added_tokens_decoder": {
+    "128000": {
+      "content": "<|begin_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128001": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128002": {
+      "content": "<|reserved_special_token_0|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128003": {
+      "content": "<|reserved_special_token_1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128004": {
+      "content": "<|finetune_right_pad_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128005": {
+      "content": "<|reserved_special_token_2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128006": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128007": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128008": {
+      "content": "<|eom_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128009": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128010": {
+      "content": "<|python_tag|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128011": {
+      "content": "<|reserved_special_token_3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128012": {
+      "content": "<|reserved_special_token_4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128013": {
+      "content": "<|reserved_special_token_5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128014": {
+      "content": "<|reserved_special_token_6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "<|reserved_special_token_227|>",
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+      "content": "<|reserved_special_token_229|>",
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+      "content": "<|reserved_special_token_230|>",
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+      "content": "<|reserved_special_token_231|>",
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+      "normalized": false,
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+      "special": true
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+      "content": "<|reserved_special_token_232|>",
+      "lstrip": false,
+      "normalized": false,
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+      "special": true
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+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128242": {
+      "content": "<|reserved_special_token_234|>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+      "content": "<|reserved_special_token_235|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_242|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_243|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "extra_special_tokens": {},
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}