LLM EXPLORER 61,755 MODELS INDEXED

Mixtral 8x7B Instruct V0.1 AWQ by dengpanyin

By dengpanyin · 5 downloads

Mixtral 8x7B Instruct V0.1 AWQ is an open-source language model by dengpanyin. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   Awq   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 8x7B Instruct V0.1 AWQ Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 AWQ
Repository πŸ€—https://huggingface.co/dengpanyin/Mixtral-8x7B-Instruct-v0.1-AWQ 
Model Size46.7b
Required VRAM24.7 GB
Updated2026-05-16
Maintainerdengpanyin
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.7 GB: 5-of-5
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mixtral 8x7B Instruct V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB255023
Mixtral Instruct AWQ32K / 24.7 GB233343
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB104559
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB124816
...xtral Instruct AWQ Clone Dec2332K / 24.7 GB90
...ixtral Instruct 8x7b Zloss AWQ32K / 24.7 GB02
...0.1 LimaRP ZLoss DARE TIES AWQ32K / 24.7 GB33
...Instruct V0.1 LimaRP ZLoss AWQ32K / 24.7 GB81
...utLM Mixtral 8x7B Instruct AWQ32K / 24.7 GB612
Dolphin 2.6 Mixtral 8x7b AWQ32K / 24.7 GB3212