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Browse files- README.md +3 -1
- imatrix_laserxtral.dat +1 -1
- laserxtral-IQ2_XS.gguf +1 -1
- laserxtral-IQ2_XXS.gguf +1 -1
- laserxtral-IQ3_XXS.gguf +1 -1
- laserxtral-Q3_K_XS.gguf +3 -0
- model_config.json +1 -1
README.md
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This is just, SOTA 2 and 3-bit quants for laserxtral. Not much more to it. Meow.
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The importance matrix, [which is generated from `
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## System Prompt
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This is just, SOTA 2 and 3-bit quants for laserxtral. Not much more to it. Meow.
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The importance matrix, [which is generated from `group_10_merged.txt`](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8353685), is included in this repo, as `imatrix_laserxtral.dat`.
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***UPDATE 2/11/2024***: The models have been reuploaded, with a new importance matrix used (`group_10_merged.txt` rather than `20k_random_data.txt`), which should in theory provide better performance. I'm not an expert, don't quote me on that.
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## System Prompt
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imatrix_laserxtral.dat
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laserxtral-IQ2_XS.gguf
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laserxtral-IQ2_XXS.gguf
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laserxtral-IQ3_XXS.gguf
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laserxtral-Q3_K_XS.gguf
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model_config.json
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"f16_kv": true,
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"num_experts_used":
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"inference_params": {
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"num_experts_used": 2
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"inference_params": {
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