Upload 13 files
Browse filesThe next perfect q5 MLX model.
- .gitattributes +1 -0
- README.md +189 -3
- added_tokens.json +28 -0
- chat_template.jinja +89 -0
- config.json +38 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1015 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +239 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license:
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---
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
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base_model:
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- Qwen/Qwen3-14B
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library_name: mlx
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tags:
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- quantization
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- mlx-q5
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---
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---
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license: apache-2.0
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language:
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- en
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- zh
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pipeline_tag: text-generation
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tags:
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- mlx==0.26.2
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- q5
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- qwen3
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- m3-ultra
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base_model: Qwen/Qwen3-14B
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---
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# Qwen3-14B MLX Q5 Quantization
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This is a **Q5 (5-bit) quantized** version of the Qwen3-14B model, optimized for MLX on Apple Silicon. This quantization offers an excellent balance between model quality and size, perfect for running advanced AI on consumer Apple Silicon devices.
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## Model Details
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- **Base Model**: Qwen/Qwen3-14B
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- **Quantization**: Q5 (5-bit) with group size 64
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- **Format**: MLX (Apple Silicon optimized)
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- **Size**: 9.5GB (from original 28GB bfloat16)
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- **Compression**: 66% size reduction
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- **Architecture**: Qwen3 with enhanced multilingual capabilities
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## Why Q5?
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Q5 quantization provides:
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- **Superior quality** compared to Q4 while being smaller than Q6/Q8
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- **Perfect for consumer Macs** - runs smoothly on M1/M2/M3 with 16GB+ RAM
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- **Minimal quality loss** - retains ~98% of original model capabilities
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- **Fast inference** with MLX's unified memory architecture
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## Requirements
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- Apple Silicon Mac (M1/M2/M3/M4)
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- macOS 13.0+
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- Python 3.11+
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- MLX 0.26.0+
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- mlx-lm 0.22.5+
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- 16GB+ RAM recommended
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## Installation
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```bash
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# Using uv (recommended)
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uv add mlx>=0.26.0 mlx-lm transformers
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# Or with pip (not tested and obsolete)
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pip install mlx>=0.26.0 mlx-lm transformers
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```
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## Usage
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### Direct Generation
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```bash
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uv run mlx_lm.generate \
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--model LibraxisAI/Qwen3-14b-q5-mlx \
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--prompt "Explain the advantages of multilingual language models" \
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--max-tokens 500
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```
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### Python API
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```python
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from mlx_lm import load, generate
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# Load model
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model, tokenizer = load("LibraxisAI/Qwen3-14b-q5-mlx")
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# Generate text
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prompt = "写一个关于量子计算的简短介绍" # Chinese prompt
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response = generate(
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model=model,
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tokenizer=tokenizer,
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prompt=prompt,
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max_tokens=500,
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temp=0.7
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)
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print(response)
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```
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### HTTP Server
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```bash
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uv run mlx_lm.server \
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--model LibraxisAI/Qwen3-14b-q5-mlx \
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--host 0.0.0.0 \
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--port 8080
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```
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## Performance Benchmarks
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Tested on Mac Studio M3 Ultra (512GB):
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| Metric | Value |
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|--------|-------|
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| Model Size | 9.5GB |
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| Peak Memory Usage | ~12GB |
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| Prompt Processing | ~150 tokens/sec |
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| Generation Speed | ~25-30 tokens/sec |
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| Max Context Length | 8,192 tokens |
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## Special Features
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Qwen3-14B excels at:
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- **Multilingual support** - strong performance in Chinese and English
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- **Code generation** with multiple programming languages
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- **Mathematical reasoning** and problem solving
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- **Balanced performance** - ideal size for daily use
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## Limitations
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⚠️ **Important**: This Q5 model as for the release date, of this quant **is NOT compatible** with LM Studio (**yet**), which only supports 2, 3, 4, 6, and 8-bit quantizations & we didn't test it with Ollama or any other inference client. **Use MLX directly or via the MLX server** - we've created a comfortable, `command generation script` to run the server properly.
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## Conversion Details
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This model was quantized using:
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```bash
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uv run mlx_lm.convert \
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--hf-path Qwen/Qwen3-14B \
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--mlx-path Qwen3-14b-q5-mlx \
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--dtype bfloat16 \
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-q --q-bits 5 --q-group-size 64
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```
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## Frontier M3 Ultra Optimization
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This model runs exceptionally well on all Apple Silicon, but for M3 Ultra:
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```python
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import mlx.core as mx
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# Set memory limits for optimal performance
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mx.metal.set_memory_limit(50 * 1024**3) # 50GB
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mx.metal.set_cache_limit(10 * 1024**3) # 10GB cache
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```
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## Tools Included
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We provide utility scripts for easy model management:
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1. **convert-to-mlx.sh** - Command generation tool - convert any model to MLX format with many options of customization and Q5 quantization support on mlx>=0.26.0
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2. **mlx-serve.sh** - Launch MLX server with custom parameters
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## Historical Note
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The LibraxisAI Q5 models were among the **first Q5 quantized MLX models** available on Hugging Face, pioneering the use of 5-bit quantization for Apple Silicon optimization.
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## Citation
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If you use this model, please cite:
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```bibtex
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@misc{qwen3-14b-q5-mlx,
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author = {LibraxisAI},
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title = {Qwen3-14B Q5 MLX - Multilingual Model for Apple Silicon},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/LibraxisAI/Qwen3-14b-q5-mlx}
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}
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```
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## License
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This model follows the original Qwen license (Apache-2.0). See the [base model card](https://huggingface.com/Qwen/Qwen3-14B) for full details.
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## Authors of the repository
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[Monika Szymanska](https://github.com/m-szymanska)
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[Maciej Gad, DVM](https://div0.space)
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## Acknowledgments
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- Apple MLX team and community for the amazing 0.26.0+ framework
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- Qwen team at Alibaba for the excellent multilingual model
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- Klaudiusz-AI 🐉
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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' }}
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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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| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 5120,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 17408,
|
| 14 |
+
"max_position_embeddings": 40960,
|
| 15 |
+
"max_window_layers": 40,
|
| 16 |
+
"model_type": "qwen3",
|
| 17 |
+
"num_attention_heads": 40,
|
| 18 |
+
"num_hidden_layers": 40,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"quantization": {
|
| 21 |
+
"group_size": 64,
|
| 22 |
+
"bits": 5
|
| 23 |
+
},
|
| 24 |
+
"quantization_config": {
|
| 25 |
+
"group_size": 64,
|
| 26 |
+
"bits": 5
|
| 27 |
+
},
|
| 28 |
+
"rms_norm_eps": 1e-06,
|
| 29 |
+
"rope_scaling": null,
|
| 30 |
+
"rope_theta": 1000000,
|
| 31 |
+
"sliding_window": null,
|
| 32 |
+
"tie_word_embeddings": false,
|
| 33 |
+
"torch_dtype": "bfloat16",
|
| 34 |
+
"transformers_version": "4.51.0",
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"use_sliding_window": false,
|
| 37 |
+
"vocab_size": 151936
|
| 38 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.51.0"
|
| 13 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19e8d63f40aa5f1f32d3648db76f20fb592b5ded3654f6d3c2dfb65e63c41d92
|
| 3 |
+
size 5347298537
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13459961d9588934a1857e94d7964444dee7512dce3b0cc22c0be5c61eedc3a6
|
| 3 |
+
size 4806585149
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,1015 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1014 |
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|
| 1015 |
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
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"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
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"<|quad_end|>",
|
| 11 |
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"<|vision_start|>",
|
| 12 |
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"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
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"<|image_pad|>",
|
| 15 |
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"<|video_pad|>"
|
| 16 |
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],
|
| 17 |
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"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
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|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
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size 11422654
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
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|
| 1 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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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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|
| 17 |
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|
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|
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|
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| 27 |
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|
| 28 |
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|
| 30 |
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|
| 31 |
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|
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|
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|
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|
| 35 |
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|
| 36 |
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|
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|
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| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
vocab.json
ADDED
|
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|
|