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/TheBloke/SauerkrautLM-Mixtral-8x7B-AWQ
SauerkrautLM Mixtral 8x7B AWQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
SauerkrautLM Mixtral 8x7B AWQ Parameters and Internals
| LLM Name | SauerkrautLM Mixtral 8x7B AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-AWQ |
| Model Name | SauerkrautLM Mixtral 8X7B |
| Model Creator | VAGO solutions |
| Base Model(s) | |
| Model Size | 46.7b |
| Required VRAM | 24.7 GB |
| Updated | 2026-02-15 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en de fr it es |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to SauerkrautLM Mixtral 8x7B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7b V0.1 AWQ | 32K / 24.7 GB | 1640 | 11 |
| H2ogpt Mixtral 8x7b 32K AWQ | 32K / 24.7 GB | 15 | 0 |
| ... Hermes 2 Mixtral 8x7B DPO AWQ | 32K / 24.7 GB | 61 | 22 |
| SauerkrautLM Mixtral 8x7B AWQ | 32K / 27.4 GB | 6 | 1 |
| ...ixtral Instruct 8x7b Zloss AWQ | 32K / 24.7 GB | 1 | 2 |
| Sensualize Mixtral AWQ | 32K / 24.7 GB | 3 | 5 |
| Open Gpt4 8x7B AWQ | 32K / 24.7 GB | 12 | 2 |
| UNAversal 8x7B V1beta AWQ | 32K / 24.7 GB | 3 | 2 |
| Notux 8x7b V1 AWQ | 32K / 24.7 GB | 5 | 3 |
| ...utLM Mixtral 8x7B Instruct AWQ | 32K / 24.7 GB | 3 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-Mixtral-8x7B-AWQ .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124