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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,132 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: lustre/fswork/projects/rech/dgo/udv55np/ift/Qwen3-235B-A22B/Qwen2.5-0.5B/1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.12.0.dev0`
+```yaml
+base_model: /lustre/fswork/projects/rech/qwv/udv55np/Qwen/Qwen2.5-0.5B
+
+datasets:
+- path: /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking
+  ds_type: json
+  type: chat_template
+  field_messages: conversations
+  data_files:
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0007.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0009.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0005.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0006.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0014.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0010.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0012.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0008.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0001.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0002.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0013.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0015.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0004.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0011.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0000.jsonl
+  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Qwen3-235B-A22B/thinking/0003.jsonl
+
+dataset_prepared_path: /lustre/fsn1/projects/rech/dgo/udv55np/dataset/Qwen3-235B-A22B/Qwen2.5-0.5B/1
+chat_template: qwen_25
+
+shuffle_merged_datasets: true
+output_dir: /lustre/fswork/projects/rech/dgo/udv55np/ift/Qwen3-235B-A22B/Qwen2.5-0.5B/1
+
+sequence_len: 16384
+sample_packing: true
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 1
+auto_resume_from_checkpoints: true
+
+optimizer: adamw_torch_fused
+lr_scheduler: warmup_stable_decay
+learning_rate: 2e-5
+lr_scheduler_kwargs:
+  num_decay_steps: 300
+  min_lr_ratio: 0.1
+warmup_steps: 150
+
+bf16: true
+tf32: false
+
+gradient_checkpointing: true
+logging_steps: 10
+flash_attention: true
+
+evals_per_epoch: 0
+save_steps: 0.2
+save_total_limit: 20
+save_only_model: false
+
+use_tensorboard: true
+deepspeed: /lustre/fswork/projects/rech/qwv/udv55np/axolotl/zero3.json
+special_tokens:
+  bos_token: "<|im_start|>"
+  eos_token: "<|im_end|>"
+  pad_token: "<|endoftext|>"
+
+```
+
+</details><br>
+
+# lustre/fswork/projects/rech/dgo/udv55np/ift/Qwen3-235B-A22B/Qwen2.5-0.5B/1
+
+This model was trained from scratch on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: warmup_stable_decay
+- lr_scheduler_warmup_steps: 150
+- training_steps: 14725
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.53.2
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.1

added_tokens.json

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+  "<tool_call>": 151657,
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+  "<|box_start|>": 151648,
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+  "<|fim_suffix|>": 151661,
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+  "<|quad_start|>": 151650,
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+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

@@ -0,0 +1,55 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151644,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.2",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.53.2"
+}

model.safetensors

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+size 988097824

special_tokens_map.json

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+    "<|object_ref_start|>",
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+    "<|video_pad|>"
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+    "lstrip": false,
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+    "single_word": false
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+size 11421896

tokenizer_config.json

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+}

training_args.bin

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