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SauerkrautLM Mixtral 8x7B AWQ by LHC88

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SauerkrautLM Mixtral 8x7B AWQ is an open-source language model by LHC88. Features: 46.7b LLM, VRAM: 27.4GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Augmentation   Awq Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Chatml Dataset:argilla/distilabel-mat...   Dataset:open-orca/slimorca   De   Dpo   En   Es   Finetuned   Fr   German   It   Mistral   Mixtral   Moe   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LHC88/SauerkrautLM-Mixtral-8x7B-AWQ 

SauerkrautLM Mixtral 8x7B AWQ Benchmarks

LLME Score: 0.11166
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM Mixtral 8x7B AWQ (LHC88/SauerkrautLM-Mixtral-8x7B-AWQ)
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SauerkrautLM Mixtral 8x7B AWQ Parameters and Internals

LLM NameSauerkrautLM Mixtral 8x7B AWQ
Repository 🤗https://huggingface.co/LHC88/SauerkrautLM-Mixtral-8x7B-AWQ 
Model NameSauerkrautLM Mixtral 8X7B
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM Mixtral 8x7B   VAGOsolutions/SauerkrautLM-Mixtral-8x7B
Model Size46.7b
Required VRAM27.4 GB
Updated2026-04-28
MaintainerLHC88
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   7.4 GB: 3-of-3
Supported Languagesen de fr it es
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Functionary Medium V2.4 AWQ32K / 24.7 GB103
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB167559
H2ogpt Mixtral 8x7b 32K AWQ32K / 24.7 GB80
Mixtral Instruct AWQ32K / 24.7 GB62043
Synatra Mixtral 8x7B AWQ32K / 24.7 GB33
...xtral Instruct AWQ Clone Dec2332K / 24.7 GB90
Note: green Score (e.g. "73.2") means that the model is better than LHC88/SauerkrautLM-Mixtral-8x7B-AWQ.

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