Mixtral 8x7b Instruct V0.1 Q4b Wa is an open-source language model by paulkl. Features: 48.2b LLM, VRAM: 24.5GB, Context: 32K, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.12.
Arxiv:1910.09700 4-bit Bitsandbytes Conversational Endpoints compatible Gguf Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/paulkl/mixtral-8x7b-instruct-v0.1_Q4b_wa
Mixtral 8x7b Instruct V0.1 Q4b Wa 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)
Mixtral 8x7b Instruct V0.1 Q4b Wa Parameters and Internals
| LLM Name | Mixtral 8x7b Instruct V0.1 Q4b Wa |
| Repository 🤗 | https://huggingface.co/paulkl/mixtral-8x7b-instruct-v0.1_Q4b_wa |
| Model Size | 48.2b |
| Required VRAM | 24.5 GB |
| Updated | 2026-04-11 |
| Maintainer | paulkl |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x7b Instruct V0.1 Q4b Wa
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al 8x7B Instruct V0.1 4bit Bnb | 32K / 24.5 GB | 1 | 1 |
| ...ixtral 8x7B Instruct V0.1 4bit | 32K / 24.5 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than paulkl/mixtral-8x7b-instruct-v0.1_Q4b_wa .
Rank the Mixtral 8x7b Instruct V0.1 Q4b Wa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a