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Model: SynastriaNetworks/OpenFable-4B Source: Original Platform
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README.md
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---
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base_model: unsloth/qwen3-4b-unsloth-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen3
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license: apache-2.0
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language:
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- en
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---
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# OpenFable-4B
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> *"The US banned Fable 5 outside America. I'm outside America. So I made my own."*
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**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.
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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.
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---
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## What makes it different
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- **Style-first fine-tune** — trained to match Claude Fable 5's tone: direct, warm, structured, and non-verbose
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- **Custom dataset** — ~300 hand-curated examples across coding, math, agentic planning, and cybersecurity. No public synthetic datasets that leak CoT preambles
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- **Custom chat template** — default system prompt embedded in `tokenizer_config.json`: *"You are OpenFable, created by SynastrIA Networks"*
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- **GGUF quantized** — Q4_K_M, ready for local inference via llama.cpp, LM Studio, PocketPal, or Jan
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---
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## Benchmarks
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### MMLU — Zero-shot (no few-shot)
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OpenFable-4B was evaluated on MMLU with zero-shot prompting, achieving an overall score of **68.48%**.
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Strongest in Social Sciences. Weakest in Humanities — expected given the dataset skew toward technical and reasoning tasks.
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---
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### GSM8K — Comparison with 4B-class models
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OpenFable-4B holds its own against the competitive 4B landscape on grade-school math reasoning:
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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.
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---
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## Model details
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| Property | Value |
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|---|---|
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| Base model | Qwen/Qwen3-4B |
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| Fine-tuning method | LoRA (via Unsloth) |
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| Dataset size | ~300 examples |
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| Quantization | Q4_K_M (GGUF) |
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| Context length | 32768 |
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| Language | English |
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| License | Apache 2.0 |
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---
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## Usage
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### llama.cpp
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```bash
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./llama-cli \
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-m OpenFable-4B-Q4_K_M.gguf \
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-p "You are OpenFable, created by SynastrIA Networks." \
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--ctx-size 4096 \
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-i
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```
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### Python (llama-cpp-python)
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```python
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from llama_cpp import Llama
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llm = Llama(
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model_path="OpenFable-4B-Q4_K_M.gguf",
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n_ctx=4096,
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chat_format="chatml",
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)
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response = llm.create_chat_completion(
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messages=[
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{"role": "system", "content": "You are OpenFable, created by SynastrIA Networks."},
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{"role": "user", "content": "Explain how LoRA fine-tuning works."},
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]
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)
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print(response["choices"][0]["message"]["content"])
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```
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### LM Studio / Jan / PocketPal
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Download the `.gguf` file and load it directly. The system prompt is already embedded in the tokenizer config — no manual setup required.
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---
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## Downloads
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| Format | Link |
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|---|---|
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| GGUF (Q4_K_M) | [gustajunq/OpenFable-4B-GGUF](https://huggingface.co/gustajunq/OpenFable-4B-GGUF) |
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| Org page | [SynastrIA Networks on HuggingFace](https://huggingface.co/SynastrIA-Networks) |
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---
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## Known limitations
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- Humanities performance lags behind other categories (~59.5% MMLU) — reflective of dataset composition
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- Style fine-tune, not RLHF-aligned — may occasionally drift on edge-case prompts
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- Not optimized for multilingual use — English only
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---
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## About
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Built by [Gustavo](https://huggingface.co/gustajunq) at [SynastrIA Networks](https://huggingface.co/SynastrIA-Networks) — a one-person AI startup from Brazil.
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OpenFable is part of the broader SynastrIA ecosystem, which includes [Lucian](https://github.com/synastriadev), an AI agent platform for creators.
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Follow the build-in-public journey: [@synastriadev](https://tiktok.com/@synastriadev) · [@openfable](https://tiktok.com/@openfable)
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---
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*V2 — June 2026*
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benchmark_gsm8k.png
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- else %}
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{{- 'You are OpenFable, created by SynastrIA Networks. You are a helpful assistant.' + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are OpenFable, created by SynastrIA Networks. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for forward_message in messages %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- set message = messages[index] %}
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{%- set tool_start = '<tool_response>' %}
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{%- set tool_start_length = tool_start|length %}
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{%- set start_of_message = message.content[:tool_start_length] %}
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{%- set tool_end = '</tool_response>' %}
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{%- set tool_end_length = tool_end|length %}
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{%- set start_pos = (message.content|length) - tool_end_length %}
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{%- if start_pos < 0 %}
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{%- set start_pos = 0 %}
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{%- endif %}
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{%- set end_of_message = message.content[start_pos:] %}
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{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
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{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
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{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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72
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
|
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"bos_token_id": null,
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"torch_dtype": "float16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 9728,
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"layer_types": [
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
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"max_position_embeddings": 40960,
|
||||
"max_window_layers": 36,
|
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"model_type": "qwen3",
|
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"num_attention_heads": 32,
|
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"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151669,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
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"rope_type": "default"
|
||||
},
|
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"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.6.7",
|
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"use_cache": false,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 151936
|
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}
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14
generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
|
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"do_sample": true,
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"eos_token_id": [
|
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151645,
|
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151643
|
||||
],
|
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"max_length": 40960,
|
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"pad_token_id": 151669,
|
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"temperature": 0.6,
|
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"top_k": 20,
|
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"top_p": 0.95,
|
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"transformers_version": "5.5.0"
|
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}
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model.safetensors.index.json
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
|
||||
size 11423114
|
||||
234
tokenizer_config.json
Normal file
234
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user