ModelHub XC e45d6fdcda 初始化项目,由ModelHub XC社区提供模型
Model: posttrainllm/qwen3-4b-file-ops-distilled
Source: Original Platform
2026-08-05 20:55:16 +08:00

base_model, language, library_name, license, pipeline_tag, tags
base_model language library_name license pipeline_tag tags
Qwen/Qwen3-4B-Instruct-2507
en
transformers other text-generation
tinygpt
mlx
tool-calling
function-calling
agentic
file-ops

Qwen3-4B File-Ops Distilled

Summary

This is the first TinyGPT specialist package for a model we actually built: a fused Qwen3-4B-Instruct-2507 bf16 HF/MLX safetensors directory distilled for GorillaFileSystem multi-turn file-operation tasks.

It is a routed specialist, not the general Pace planner.

Artifact

  • Package id: qwen3-4b-file-ops-distilled
  • Public artifact: sarthakagrawal927/qwen3-4b-file-ops-distilled
  • Public storage target: Hugging Face Hub model repo
  • Format: HF/MLX safetensors directory
  • Base: Qwen/Qwen3-4B-Instruct-2507
  • Precision: bf16
  • Training method: frontier/gold trajectory distillation rendered in the student's native tool-calling chat template

Measured Result

Suite Stock 4B Distilled 4B
File-ops hard gate 58% 100%
File-ops hardgen held-out - 95%
Out-of-domain breadth 59.6% 42.3%

The file-ops domain saturated at 4B: the distilled model matched frontier on the hard and veryhard file-ops gates. The same training caused negative transfer outside that domain, so this package is only correct behind a router.

Use this model when the router has already identified a file-operation task with derivable arguments: paths, file names, directories, moves, creates, deletes, and navigation through a file-system backend.

Do not use it as a general planner. For general multi-domain planning, use the planner lock in docs/planner-lock-2026-06-19.md: stock Qwen3-4B-Instruct-2507 bf16 with the plan-then-execute prompt.

Known Limits

  • The specialist regresses on non-filesystem BFCL multi-turn backends.
  • It was not validated as a broad Pace planner.
  • It depends on correct routing. Bad routing turns a narrow win into a broad regression.
  • The artifact is multi-GB and is published on Hugging Face Hub, not committed to this repository or required to remain in local cache.

References

  • docs/learn/tool-calling-frontier-parity.md sections 8.1-8.5
  • docs/planner-lock-2026-06-19.md
Description
Model synced from source: posttrainllm/qwen3-4b-file-ops-distilled
Readme 31 KiB
Languages
Jinja 100%