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--- |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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quantized_by: mradermacher |
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tags: |
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- llama |
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- llama 2 |
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--- |
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## About |
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static quantize of https://huggingface.co/Doctor-Shotgun/lzlv-limarpv3-l2-70b |
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<!-- provided-files --> |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q2_K.gguf) | Q2_K | 25.5 | | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q3_K_XS.gguf) | Q3_K_XS | 28.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q3_K_S.gguf) | Q3_K_S | 29.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q3_K_M.gguf) | Q3_K_M | 33.3 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q3_K_L.gguf) | Q3_K_L | 36.1 | | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q4_K_S.gguf) | Q4_K_S | 39.2 | fast, medium quality | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q4_K_M.gguf) | Q4_K_M | 41.4 | fast, medium quality | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q5_K_S.gguf) | Q5_K_S | 47.5 | | |
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| [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q5_K_M.gguf) | Q5_K_M | 48.8 | | |
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| [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-ab) | Q6_K | 56.6 | very good quality | |
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| [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-ab) | Q8_0 | 73.3 | fast, best quality | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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