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

 »  All LLMs  »  GENIAC-Team-Ozaki  »  Karakuri Lm 8x7b Chat V0.1 AWQ   URL Share it on

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: 0.13.

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

Karakuri Lm 8x7b Chat V0.1 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

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

Supported Languages 
ja (proficient)
LLM NameKarakuri Lm 8x7b Chat V0.1 AWQ
Repository 🤗https://huggingface.co/GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awq 
Model Size46.7b
Required VRAM24.7 GB
Updated2026-05-11
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
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB425623
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB50
... Hermes 2 Mixtral 8x7B DPO AWQ32K / 24.7 GB235522
Functionary Medium V2.4 AWQ32K / 24.7 GB103
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB167559
H2ogpt Mixtral 8x7b 32K AWQ32K / 24.7 GB80
Mixtral Instruct AWQ32K / 24.7 GB62043
Synatra Mixtral 8x7B AWQ32K / 24.7 GB33
...xtral Instruct AWQ Clone Dec2332K / 24.7 GB90
SauerkrautLM Mixtral 8x7B AWQ32K / 27.4 GB71
Note: green Score (e.g. "73.2") means that the model is better than GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awq.

Rank the Karakuri Lm 8x7b Chat V0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 53999 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a