45 lines
1.3 KiB
Markdown
45 lines
1.3 KiB
Markdown
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---
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base_model: unsloth/Qwen2.5-Coder-7B-Instruct-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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- qwen2
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- swift
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- python
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- code
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- gguf
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license: cc-by-nc-4.0
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language:
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- en
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- ja
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datasets:
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- igarin/swift-python-textbook-20260219
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---
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# Uploaded finetuned model
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- **Developed by:** igarin
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- **License:** cc-by-nc-4.0
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- **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
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# Qwen2.5-Coder-7B-20260219-GGUF : GGUF
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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- For text only LLMs: `./llama.cpp/llama-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
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- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf igarin/Qwen2.5-Coder-7B-20260219-GGUF --jinja`
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## Available Model files:
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- `qwen2.5-coder-7b-instruct.F16.gguf`
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- `qwen2.5-coder-7b-instruct.Q2_K.gguf`
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- `qwen2.5-coder-7b-instruct.Q4_K_M.gguf`
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- `qwen2.5-coder-7b-instruct.Q5_K_M.gguf`
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- `qwen2.5-coder-7b-instruct.Q6_K.gguf`
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- `qwen2.5-coder-7b-instruct.Q8_0.gguf`
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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