Mixtral 8x7B Instruct V0.1 AQLM 2Bit 1x16 Hf is an open-source language model by ISTA-DASLab. Features: 6.5b LLM, VRAM: 13.1GB, Context: 32K, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.12.
Arxiv:2401.06118 2bit Aqlm Conversational Endpoints compatible Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/Mixtral-8x7B-Instruct-v0_1-AQLM-2Bit-1x16-hf
Mixtral 8x7B Instruct V0.1 AQLM 2Bit 1x16 Hf 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 AQLM 2Bit 1x16 Hf Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Mixtral 8x7B Instruct V0.1 AQLM 2Bit 1x16 Hf |
| Repository 🤗 | https://huggingface.co/ISTA-DASLab/Mixtral-8x7B-Instruct-v0_1-AQLM-2Bit-1x16-hf |
| Model Size | 6.5b |
| Required VRAM | 13.1 GB |
| Updated | 2026-05-16 |
| Maintainer | ISTA-DASLab |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 2bit |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x7B Instruct V0.1 AQLM 2Bit 1x16 Hf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...uct V0.1 OmniQuantv1 W4a16g128 | 32K / 24.7 GB | 5 | 1 |
Rank the Mixtral 8x7B Instruct V0.1 AQLM 2Bit 1x16 Hf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a