LLM EXPLORER 59,516 MODELS INDEXED

Karakuri Lm 8x7b Chat V0.1 AWQ by GENIAC-Team-Ozaki

By GENIAC-Team-Ozaki · 7 downloads

Karakuri Lm 8x7b Chat V0.1 AWQ is an open-source language model by GENIAC-Team-Ozaki. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

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

Karakuri Lm 8x7b Chat V0.1 AWQ Parameters and Internals

Supported Languages 
ja (proficient)
LLM NameKarakuri Lm 8x7b Chat V0.1 AWQ
Repository πŸ€—https://huggingface.co/GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awq 
Model Size46.7b
Required VRAM24.7 GB
Updated2026-08-06
MaintainerGENIAC-Team-Ozaki
Model Typemixtral
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
Supported Languagesja
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Karakuri Lm 8x7b Chat V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...kaLM Mixtral 8x7B V0.2 DPO AWQ32K / 24.7 GB60
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB50
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB255023
Mixtral Instruct AWQ32K / 24.7 GB233343
Functionary Medium V2.4 AWQ32K / 24.7 GB53
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB104559
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB124816
H2ogpt Mixtral 8x7b 32K AWQ32K / 24.7 GB60
Synatra Mixtral 8x7B AWQ32K / 24.7 GB83
...xtral Instruct AWQ Clone Dec2332K / 24.7 GB90
Note: green Score (e.g. "73.2") means that the model is better than GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awq.