ef25c36ce3
Model: RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf Source: Original Platform
68 lines
5.5 KiB
Markdown
68 lines
5.5 KiB
Markdown
Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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qwen2.5-7B-Instruct-v0.2.9-v0.3 - GGUF
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- Model creator: https://huggingface.co/RTX3090x2/
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- Original model: https://huggingface.co/RTX3090x2/qwen2.5-7B-Instruct-v0.2.9-v0.3/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q2_K.gguf) | Q2_K | 2.81GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_XS.gguf) | IQ3_XS | 3.12GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_S.gguf) | IQ3_S | 3.26GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_S.gguf) | Q3_K_S | 3.25GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_M.gguf) | IQ3_M | 3.33GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K.gguf) | Q3_K | 3.55GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_M.gguf) | Q3_K_M | 3.55GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_L.gguf) | Q3_K_L | 3.81GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_XS.gguf) | IQ4_XS | 3.96GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_0.gguf) | Q4_0 | 4.13GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_NL.gguf) | IQ4_NL | 4.16GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_S.gguf) | Q4_K_S | 4.15GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K.gguf) | Q4_K | 4.36GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_M.gguf) | Q4_K_M | 4.36GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_1.gguf) | Q4_1 | 4.54GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_0.gguf) | Q5_0 | 4.95GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_S.gguf) | Q5_K_S | 4.95GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K.gguf) | Q5_K | 5.07GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_M.gguf) | Q5_K_M | 5.07GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_1.gguf) | Q5_1 | 5.36GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q6_K.gguf) | Q6_K | 5.82GB |
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| [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q8_0.gguf) | Q8_0 | 7.54GB |
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Original model description:
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---
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base_model: unsloth/qwen2.5-7b-instruct-bnb-4bit
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language:
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- en
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license: apache-2.0
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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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- trl
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---
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# Uploaded model
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- **Developed by:** RTX3090x2
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/qwen2.5-7b-instruct-bnb-4bit
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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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