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Model: BillyWang1/qwen2.5-7b-base-retool-slime-sft
Source: Original Platform

README.md

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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.