| | --- |
| | license: other |
| | license_name: qwen-research |
| | license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/LICENSE |
| | language: |
| | - en |
| | base_model: |
| | - Qwen/Qwen2.5-Coder-3B-Instruct |
| | pipeline_tag: text-generation |
| | quantized_by: mukel |
| | tags: |
| | - code |
| | - codeqwen |
| | - chat |
| | - qwen |
| | - qwen-coder |
| | --- |
| | |
| | # GGUF models for qwen2.java |
| | Pure .gguf Q4_0 and Q8_0 quantizations of Qwen 2.5 models, ready to consume by `qwen2.java`. |
| |
|
| | In the wild, Q8_0 quantizations are fine, but Q4_0 quantizations are rarely pure e.g. the token embeddings are quantized with Q6_K, instead of Q4_0. |
| | A pure Q4_0 quantization can be generated from a high precision (F32, F16, BFLOAT16) .gguf source with the llama-quantize utility from llama.cpp as follows: |
| | |
| | ``` |
| | ./llama-quantize --pure ./Qwen-2.5-7B-Instruct-BF16.gguf ./Qwen-2.5-7B-Instruct-Q4_0.gguf Q4_0 |
| | ``` |
| | |
| | ## Introduction |
| | |
| | Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: |
| | |
| | - Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains. |
| | - Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots. |
| | - **Long-context Support** up to 128K tokens and can generate up to 8K tokens. |
| | - **Multilingual support** for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. |
| | |
| | For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/). |
