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--- |
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base_model: unsloth/llama-3-70b-Instruct-bnb-4bit |
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exported_from: Dogge/llama-3-70B-instruct-uncensored |
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language: |
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- en |
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library_name: transformers |
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license: apache-2.0 |
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no_imatrix: 'GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0' |
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quantized_by: mradermacher |
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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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- llama |
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- trl |
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- sft |
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--- |
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## About |
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<!-- ### quantize_version: 1 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: --> |
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<!-- ### vocab_type: --> |
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weighted/imatrix quants of https://huggingface.co/Dogge/llama-3-70B-instruct-uncensored |
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**No more quants are incoming, as llama.cpp crashes when generating them.** |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-GGUF |
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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/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q5_K_S.gguf) | i1-Q5_K_S | 48.8 | | |
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| [PART 1](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K | |
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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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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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<!-- end --> |
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