初始化项目，由ModelHub XC社区提供模型

Model: SynastriaNetworks/OpenFable-4B
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: unsloth/qwen3-4b-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+language:
+- en
+---
+
+# OpenFable-4B
+
+> *"The US banned Fable 5 outside America. I'm outside America. So I made my own."*
+
+**OpenFable-4B** is a fine-tune of [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) designed to replicate the conversational style, reasoning depth, and structured output quality of Claude Fable 5 — built entirely from scratch by a solo developer in Brazil.
+
+This is not a generic instruction-tuned model. It's a deliberate attempt to bring Fable-style responses to the open-source ecosystem, with a custom-built dataset and a personality baked into the chat template.
+
+---
+
+## What makes it different
+
+- **Style-first fine-tune** — trained to match Claude Fable 5's tone: direct, warm, structured, and non-verbose
+- **Custom dataset** — ~300 hand-curated examples across coding, math, agentic planning, and cybersecurity. No public synthetic datasets that leak CoT preambles
+- **Custom chat template** — default system prompt embedded in `tokenizer_config.json`: *"You are OpenFable, created by SynastrIA Networks"*
+- **GGUF quantized** — Q4_K_M, ready for local inference via llama.cpp, LM Studio, PocketPal, or Jan
+
+---
+
+## Benchmarks
+
+### MMLU — Zero-shot (no few-shot)
+
+OpenFable-4B was evaluated on MMLU with zero-shot prompting, achieving an overall score of **68.48%**.
+
+![OpenFable MMLU Benchmark](benchmark_mmlu.png)
+
+Strongest in Social Sciences. Weakest in Humanities — expected given the dataset skew toward technical and reasoning tasks.
+
+---
+
+### GSM8K — Comparison with 4B-class models
+
+OpenFable-4B holds its own against the competitive 4B landscape on grade-school math reasoning:
+
+![4B Models GSM8K Benchmark](benchmark_gsm8k.png)
+
+OpenFable matches top-tier 4B models on math reasoning despite being a style fine-tune, not a reasoning-optimized model. The base Qwen3-4B it's built on scores ~76% — OpenFable closes that gap significantly through LoRA training.
+
+---
+
+## Model details
+
+| Property | Value |
+|---|---|
+| Base model | Qwen/Qwen3-4B |
+| Fine-tuning method | LoRA (via Unsloth) |
+| Dataset size | ~300 examples |
+| Quantization | Q4_K_M (GGUF) |
+| Context length | 32768 |
+| Language | English |
+| License | Apache 2.0 |
+
+---
+
+## Usage
+
+### llama.cpp
+
+```bash
+./llama-cli \
+  -m OpenFable-4B-Q4_K_M.gguf \
+  -p "You are OpenFable, created by SynastrIA Networks." \
+  --ctx-size 4096 \
+  -i
+```
+
+### Python (llama-cpp-python)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path="OpenFable-4B-Q4_K_M.gguf",
+    n_ctx=4096,
+    chat_format="chatml",
+)
+
+response = llm.create_chat_completion(
+    messages=[
+        {"role": "system", "content": "You are OpenFable, created by SynastrIA Networks."},
+        {"role": "user", "content": "Explain how LoRA fine-tuning works."},
+    ]
+)
+
+print(response["choices"][0]["message"]["content"])
+```
+
+### LM Studio / Jan / PocketPal
+
+Download the `.gguf` file and load it directly. The system prompt is already embedded in the tokenizer config — no manual setup required.
+
+---
+
+## Downloads
+
+| Format | Link |
+|---|---|
+| GGUF (Q4_K_M) | [gustajunq/OpenFable-4B-GGUF](https://huggingface.co/gustajunq/OpenFable-4B-GGUF) |
+| Org page | [SynastrIA Networks on HuggingFace](https://huggingface.co/SynastrIA-Networks) |
+
+---
+
+## Known limitations
+
+- Humanities performance lags behind other categories (~59.5% MMLU) — reflective of dataset composition
+- Style fine-tune, not RLHF-aligned — may occasionally drift on edge-case prompts
+- Not optimized for multilingual use — English only
+
+---
+
+## About
+
+Built by [Gustavo](https://huggingface.co/gustajunq) at [SynastrIA Networks](https://huggingface.co/SynastrIA-Networks) — a one-person AI startup from Brazil.
+
+OpenFable is part of the broader SynastrIA ecosystem, which includes [Lucian](https://github.com/synastriadev), an AI agent platform for creators.
+
+Follow the build-in-public journey: [@synastriadev](https://tiktok.com/@synastriadev) · [@openfable](https://tiktok.com/@openfable)
+
+---
+
+*V2 — June 2026*

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chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- else %}
+        {{- 'You are OpenFable, created by SynastrIA Networks. You are a helpful assistant.' + '\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' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are OpenFable, created by SynastrIA Networks. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- 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' }}
+        {{- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "float16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "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",
+        "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": 40960,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151669,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.6.7",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
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+    151643
+  ],
+  "max_length": 40960,
+  "pad_token_id": 151669,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.0"
+}

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