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Model: posttrainllm/qwen3-4b-file-ops-distilled
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+language:
+  - en
+library_name: transformers
+license: other
+pipeline_tag: text-generation
+tags:
+  - 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.
+
+## Recommended Use
+
+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`

artifact_manifest.json

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+{
+  "artifact_id": "qwen3-4b-file-ops-distilled",
+  "large_weight_policy": "already published in the target Hugging Face repo",
+  "large_weights_included": false,
+  "large_weights_published": true,
+  "metadata_files": [
+    "README.md",
+    "prompt.md",
+    "eval_report.json",
+    "tinygpt.lock.json"
+  ],
+  "package_dir": "specialists/qwen3-4b-file-ops-distilled",
+  "repo_id": "sarthakagrawal927/qwen3-4b-file-ops-distilled",
+  "repo_type": "model",
+  "schema": "tinygpt.hf_artifact_manifest.v1",
+  "source_lock": "tinygpt.lock.json",
+  "storage_provider": "huggingface_hub"
+}

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- 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

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": [
+        151645,
+        151643
+    ],
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "max_position_embeddings": 262144,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 5000000,
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.0",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

eval_report.json

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+{
+  "id": "qwen3-4b-file-ops-distilled",
+  "updated": "2026-06-19",
+  "artifact": "hf://models/sarthakagrawal927/qwen3-4b-file-ops-distilled",
+  "base": "Qwen/Qwen3-4B-Instruct-2507",
+  "precision": "bf16",
+  "training_method": "frontier/gold trajectory distillation on GorillaFileSystem multi-turn tasks",
+  "scores": [
+    {
+      "suite": "file_ops_hard_gate",
+      "n": 12,
+      "stock_4b": 0.58,
+      "distilled_4b": 1.0,
+      "frontier": 1.0,
+      "source": "docs/learn/tool-calling-frontier-parity.md#81-climbing-the-cliff--frontier-trajectory-distillation-2026-06-16"
+    },
+    {
+      "suite": "file_ops_hardgen_heldout",
+      "n": 40,
+      "stock_4b": 0.6,
+      "distilled_4b": 0.95,
+      "source": "docs/learn/tool-calling-frontier-parity.md#81-climbing-the-cliff--frontier-trajectory-distillation-2026-06-16"
+    },
+    {
+      "suite": "out_of_domain_breadth",
+      "n": 52,
+      "stock_4b": 0.596,
+      "distilled_4b": 0.423,
+      "delta": -0.173,
+      "source": "docs/learn/tool-calling-frontier-parity.md#84-breadth--narrow-distillation-causes-negative-transfer-2026-06-16"
+    }
+  ],
+  "verdict": "ship only as a routed file-ops specialist; do not use as the general planner",
+  "caveats": [
+    "The out-of-domain breadth ceiling is not frontier-validated yet.",
+    "The negative-transfer result is relative and directly comparable: same 52 tasks, same prompt, stock vs distilled.",
+    "The model is a fused full HF/MLX directory, not a small adapter package."
+  ]
+}

generation_config.json

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+    "temperature": 0.7,
+    "top_k": 20,
+    "top_p": 0.8,
+    "transformers_version": "4.51.0"
+}

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prompt.md

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+# System Prompt
+
+```text
+You are an autonomous tool-using agent. For each user turn: (1) plan the full sequence of function calls the task needs; (2) execute them, reading each tool result; (3) never repeat a call that already succeeded; (4) once every requested action is complete, stop and emit no tool call. Use the tool results to track the current state as you go.
+```
+
+This is the measured plan-then-execute prompt family used for the multi-turn
+file-ops gate and the gold/frontier trajectory render path.

tinygpt.lock.json

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tokenizer.json

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+size 11422650

tokenizer_config.json

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+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+    "<|box_start|>",
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+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 1010000,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "tool_parser_type": "json_tools",
+  "unk_token": null
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