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Model: BillyWang1/qwen2.5-7b-base-retool-slime-sft
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---
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
datasets:
- JoeYing/ReTool-SFT
language:
- en
tags:
- retool
- tool-use
- code-interpreter
- math
- sft
- slime
- megatron
library_name: transformers
pipeline_tag: text-generation
---
# qwen2.5-7b-base-retool-slime-sft
ReTool **SFT cold-start** of `Qwen/Qwen2.5-7B` (base, *not* -Instruct). This stage teaches
the multi-turn **`<code>` / `<interpreter>` / `\boxed{}`** tool-use format on
[`JoeYing/ReTool-SFT`](https://huggingface.co/datasets/JoeYing/ReTool-SFT) so the model can
write Python, read sandbox output, and finish with a boxed answer. It is the first stage of
the `retool-slime` pipeline (**base → tool-format SFT → RL (GRPO / GFlowRL)**).
## Training
- **Framework:** [slime](https://github.com/THUDM/slime) v0.3.0 (Megatron-LM backend).
- **Data:** `JoeYing/ReTool-SFT` (2,000 multi-turn `{messages}` trajectories).
- **Recipe:** `loss_type=sft_loss`, 3 epochs, rollout/global batch 128, Adam, lr 1e-5
(cosine → 1e-6, 10% warmup), weight decay 0.1, bf16, `max_tokens_per_gpu=9216`,
full activation recompute.
- **Parallelism:** 8×A100-40GB, tensor-parallel 4 (+ sequence parallel), PP 1.
- **Final train loss:** ≈ 0.37–0.40 (from ≈ 0.70 at start).
The prompt/response template is owned by the rollout (`generate_with_retool`); chat templates
are **not** applied on top during RL.
## Intended use
Consume directly as the `--hf-checkpoint` / `MODEL_PATH` for the GRPO / GFlowRL stages of
`retool-slime`, or for tool-augmented math inference using the ReTool `<code>`/`<interpreter>`
format.

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"max_position_embeddings": 131072,
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"model_type": "qwen2",
"num_attention_heads": 28,
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"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 131072,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.1",
"use_cache": true,
"use_mrope": false,
"use_sliding_window": false,
"vocab_size": 152064
}

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{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
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"normalized": false,
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},
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},
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},
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},
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},
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},
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},
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},
"151664": {
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}
},
"additional_special_tokens": [
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"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
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"<|vision_start|>",
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"<|vision_pad|>",
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"<|video_pad|>"
],
"bos_token": null,
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

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