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Model: p-e-w/Qwen3-4B-Instruct-2507-heretic-v4 Source: Original Platform
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README.md
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---
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- heretic
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- uncensored
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- decensored
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- abliterated
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---
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# This is a decensored version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
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## Abliteration parameters
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| Parameter | Value |
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| :-------- | :---: |
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| **direction_index** | 16.08 |
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||||
| **attn.o_proj.max_weight** | 1.22 |
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| **attn.o_proj.max_weight_position** | 22.99 |
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| **attn.o_proj.min_weight** | 0.65 |
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| **attn.o_proj.min_weight_distance** | 20.84 |
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| **mlp.down_proj.max_weight** | 1.49 |
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| **mlp.down_proj.max_weight_position** | 31.14 |
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| **mlp.down_proj.min_weight** | 1.45 |
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| **mlp.down_proj.min_weight_distance** | 19.79 |
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## Performance
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| Metric | This model | Original model ([Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)) |
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| :----- | :--------: | :---------------------------: |
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| **KL divergence** | 0.3021 | 0 *(by definition)* |
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| **Refusals** | 9/100 | 100/100 |
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-----
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# Qwen3-4B-Instruct-2507
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<a href="https://chat.qwen.ai" target="_blank" style="margin: 2px;">
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<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
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</a>
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## Highlights
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We introduce the updated version of the **Qwen3-4B non-thinking mode**, named **Qwen3-4B-Instruct-2507**, featuring the following key enhancements:
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- **Significant improvements** in general capabilities, including **instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage**.
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- **Substantial gains** in long-tail knowledge coverage across **multiple languages**.
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- **Markedly better alignment** with user preferences in **subjective and open-ended tasks**, enabling more helpful responses and higher-quality text generation.
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- **Enhanced capabilities** in **256K long-context understanding**.
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## Model Overview
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**Qwen3-4B-Instruct-2507** has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training
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- Number of Parameters: 4.0B
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- Number of Paramaters (Non-Embedding): 3.6B
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- Number of Layers: 36
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- Number of Attention Heads (GQA): 32 for Q and 8 for KV
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- Context Length: **262,144 natively**.
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**NOTE: This model supports only non-thinking mode and does not generate ``<think></think>`` blocks in its output. Meanwhile, specifying `enable_thinking=False` is no longer required.**
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For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3/), [GitHub](https://github.com/QwenLM/Qwen3), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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## Performance
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| | GPT-4.1-nano-2025-04-14 | Qwen3-30B-A3B Non-Thinking | Qwen3-4B Non-Thinking | Qwen3-4B-Instruct-2507 |
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|--- | --- | --- | --- | --- |
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| **Knowledge** | | | |
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| MMLU-Pro | 62.8 | 69.1 | 58.0 | **69.6** |
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| MMLU-Redux | 80.2 | 84.1 | 77.3 | **84.2** |
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| GPQA | 50.3 | 54.8 | 41.7 | **62.0** |
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| SuperGPQA | 32.2 | 42.2 | 32.0 | **42.8** |
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| **Reasoning** | | | |
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||||
| AIME25 | 22.7 | 21.6 | 19.1 | **47.4** |
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| HMMT25 | 9.7 | 12.0 | 12.1 | **31.0** |
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| ZebraLogic | 14.8 | 33.2 | 35.2 | **80.2** |
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||||
| LiveBench 20241125 | 41.5 | 59.4 | 48.4 | **63.0** |
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||||
| **Coding** | | | |
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||||
| LiveCodeBench v6 (25.02-25.05) | 31.5 | 29.0 | 26.4 | **35.1** |
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||||
| MultiPL-E | 76.3 | 74.6 | 66.6 | **76.8** |
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||||
| Aider-Polyglot | 9.8 | **24.4** | 13.8 | 12.9 |
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||||
| **Alignment** | | | |
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||||
| IFEval | 74.5 | **83.7** | 81.2 | 83.4 |
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||||
| Arena-Hard v2* | 15.9 | 24.8 | 9.5 | **43.4** |
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||||
| Creative Writing v3 | 72.7 | 68.1 | 53.6 | **83.5** |
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| WritingBench | 66.9 | 72.2 | 68.5 | **83.4** |
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| **Agent** | | | |
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||||
| BFCL-v3 | 53.0 | 58.6 | 57.6 | **61.9** |
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||||
| TAU1-Retail | 23.5 | 38.3 | 24.3 | **48.7** |
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||||
| TAU1-Airline | 14.0 | 18.0 | 16.0 | **32.0** |
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| TAU2-Retail | - | 31.6 | 28.1 | **40.4** |
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||||
| TAU2-Airline | - | 18.0 | 12.0 | **24.0** |
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||||
| TAU2-Telecom | - | **18.4** | 17.5 | 13.2 |
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| **Multilingualism** | | | |
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||||
| MultiIF | 60.7 | **70.8** | 61.3 | 69.0 |
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||||
| MMLU-ProX | 56.2 | **65.1** | 49.6 | 61.6 |
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||||
| INCLUDE | 58.6 | **67.8** | 53.8 | 60.1 |
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| PolyMATH | 15.6 | 23.3 | 16.6 | **31.1** |
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*: For reproducibility, we report the win rates evaluated by GPT-4.1.
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## Quickstart
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The code of Qwen3 has been in the latest Hugging Face `transformers` and we advise you to use the latest version of `transformers`.
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With `transformers<4.51.0`, you will encounter the following error:
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||||
```
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||||
KeyError: 'qwen3'
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```
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The following contains a code snippet illustrating how to use the model generate content based on given inputs.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Qwen/Qwen3-4B-Instruct-2507"
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# load the tokenizer and the model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype="auto",
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device_map="auto"
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)
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# prepare the model input
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prompt = "Give me a short introduction to large language model."
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messages = [
|
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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# conduct text completion
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generated_ids = model.generate(
|
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**model_inputs,
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max_new_tokens=16384
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)
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output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
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content = tokenizer.decode(output_ids, skip_special_tokens=True)
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|
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print("content:", content)
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```
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For deployment, you can use `sglang>=0.4.6.post1` or `vllm>=0.8.5` or to create an OpenAI-compatible API endpoint:
|
||||
- SGLang:
|
||||
```shell
|
||||
python -m sglang.launch_server --model-path Qwen/Qwen3-4B-Instruct-2507 --context-length 262144
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||||
```
|
||||
- vLLM:
|
||||
```shell
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||||
vllm serve Qwen/Qwen3-4B-Instruct-2507 --max-model-len 262144
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||||
```
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||||
|
||||
**Note: If you encounter out-of-memory (OOM) issues, consider reducing the context length to a shorter value, such as `32,768`.**
|
||||
|
||||
For local use, applications such as Ollama, LMStudio, MLX-LM, llama.cpp, and KTransformers have also supported Qwen3.
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## Agentic Use
|
||||
|
||||
Qwen3 excels in tool calling capabilities. We recommend using [Qwen-Agent](https://github.com/QwenLM/Qwen-Agent) to make the best use of agentic ability of Qwen3. Qwen-Agent encapsulates tool-calling templates and tool-calling parsers internally, greatly reducing coding complexity.
|
||||
|
||||
To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself.
|
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```python
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from qwen_agent.agents import Assistant
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# Define LLM
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llm_cfg = {
|
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'model': 'Qwen3-4B-Instruct-2507',
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|
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# Use a custom endpoint compatible with OpenAI API:
|
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'model_server': 'http://localhost:8000/v1', # api_base
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'api_key': 'EMPTY',
|
||||
}
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|
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# Define Tools
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tools = [
|
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{'mcpServers': { # You can specify the MCP configuration file
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'time': {
|
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'command': 'uvx',
|
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'args': ['mcp-server-time', '--local-timezone=Asia/Shanghai']
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},
|
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"fetch": {
|
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"command": "uvx",
|
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"args": ["mcp-server-fetch"]
|
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}
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}
|
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},
|
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'code_interpreter', # Built-in tools
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]
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# Define Agent
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bot = Assistant(llm=llm_cfg, function_list=tools)
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|
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# Streaming generation
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messages = [{'role': 'user', 'content': 'https://qwenlm.github.io/blog/ Introduce the latest developments of Qwen'}]
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for responses in bot.run(messages=messages):
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pass
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print(responses)
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```
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## Best Practices
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To achieve optimal performance, we recommend the following settings:
|
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|
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1. **Sampling Parameters**:
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- We suggest using `Temperature=0.7`, `TopP=0.8`, `TopK=20`, and `MinP=0`.
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- For supported frameworks, you can adjust the `presence_penalty` parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.
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2. **Adequate Output Length**: We recommend using an output length of 16,384 tokens for most queries, which is adequate for instruct models.
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3. **Standardize Output Format**: We recommend using prompts to standardize model outputs when benchmarking.
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- **Math Problems**: Include "Please reason step by step, and put your final answer within \boxed{}." in the prompt.
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- **Multiple-Choice Questions**: Add the following JSON structure to the prompt to standardize responses: "Please show your choice in the `answer` field with only the choice letter, e.g., `"answer": "C"`."
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### Citation
|
||||
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||||
If you find our work helpful, feel free to give us a cite.
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||||
|
||||
```
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||||
@misc{qwen3technicalreport,
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||||
title={Qwen3 Technical Report},
|
||||
author={Qwen Team},
|
||||
year={2025},
|
||||
eprint={2505.09388},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.CL},
|
||||
url={https://arxiv.org/abs/2505.09388},
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}
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```
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
|
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
|
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"<|vision_end|>": 151653,
|
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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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' }}
|
||||
{%- 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) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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||||
{%- elif message.role == "assistant" %}
|
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{{- '<|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 %}
|
||||
68
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
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|
||||
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|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
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|
||||
"<|box_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|vision_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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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 sha256:67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
|
||||
size 11422821
|
||||
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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||||
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|
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||||
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||||
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|
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user