--- language: - en library_name: transformers quantized_by: mradermacher tags: - llama - llama 2 --- ## About weighted/imatrix quants of https://huggingface.co/Doctor-Shotgun/lzlv-limarpv3-l2-70b ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-IQ1_S.gguf) | i1-IQ1_S | 14.9 | | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.6 | | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.7 | | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q2_K.gguf) | i1-Q2_K | 25.8 | | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.3 | fast, lower quality | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 28.6 | IQ3-XXS probably better | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.2 | IQ3-XXS probably better | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.6 | lower quality | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.5 | | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.6 | fast, medium quality | | [GGUF](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-i1-GGUF/resolve/main/lzlv-limarpv3-l2-70b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.7 | fast, medium quality | Here is a handy table comparing some lower-quality quant types: ![image.png](https://cdn-uploads.huggingface.co/production/uploads/645ce413a19f3e64bbeece31/dEiT6xDvxyANdetzVG1tX.png)