LLM EXPLORER 59,420 MODELS INDEXED

Mixtral 8x7B V0.1 Hf Attn 4bit MoE 2bit HQQ by mobiuslabsgmbh

By mobiuslabsgmbh · 14 downloads

Mixtral 8x7B V0.1 Hf Attn 4bit MoE 2bit HQQ is an open-source language model by mobiuslabsgmbh. Features: LLM, VRAM: 18.2GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.1.

  4bit   Mixtral   Moe   Quantized   Region:us

Mixtral 8x7B V0.1 Hf Attn 4bit MoE 2bit HQQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a quantized version with a mix of 4-bit and 2-bit via Half-Quadratic Quantization (HQQ).
LLM NameMixtral 8x7B V0.1 Hf Attn 4bit MoE 2bit HQQ
Repository πŸ€—https://huggingface.co/mobiuslabsgmbh/Mixtral-8x7B-v0.1-hf-attn-4bit-moe-2bit-HQQ 
Required VRAM18.2 GB
Updated2026-07-30
Maintainermobiuslabsgmbh
Model Typemixtral
Model Files  18.2 GB
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mixtral 8x7B V0.1 Hf Attn 4bit MoE 2bit HQQ

Best Alternatives
Context / RAM
Downloads
Likes
...oE V0.1 DPO F16 4.0bpw H6 EXL2195K / 31.3 GB70
...oE V0.1 DPO F16 5.0bpw H6 EXL2195K / 38.8 GB60
...2 Mixtral 8x22b 6.0bpw H8 EXL264K / 105.8 GB21
WizardLM 2 8x22 EXL2 4.0bpw64K / 70.9 GB71
...M 2 8x22B Beige 5.0bpw H6 EXL264K / 88.5 GB80
...M 2 8x22B Beige 4.0bpw H6 EXL264K / 70.8 GB60
...M 2 8x22B Beige 2.4bpw H6 EXL264K / 42.7 GB50
...M 2 8x22B Beige 3.0bpw H6 EXL264K / 53.2 GB50
...rdLM 2 8x22B Beige EXL2 5.0bpw64K / 88.4 GB50
...B Instruct V0.1 8.0bpw H8 EXL264K / 120.2 GB61
Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Mixtral-8x7B-v0.1-hf-attn-4bit-moe-2bit-HQQ.