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.
| Supported Languages |
|
| LLM Name | Karakuri Lm 8x7b Chat V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awq |
| Model Size | 46.7b |
| Required VRAM | 24.7 GB |
| Updated | 2026-05-11 |
| Maintainer | GENIAC-Team-Ozaki |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | ja |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 4256 | 23 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 5 | 0 |
| ... Hermes 2 Mixtral 8x7B DPO AWQ | 32K / 24.7 GB | 2355 | 22 |
| Functionary Medium V2.4 AWQ | 32K / 24.7 GB | 10 | 3 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1675 | 59 |
| H2ogpt Mixtral 8x7b 32K AWQ | 32K / 24.7 GB | 8 | 0 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 620 | 43 |
| Synatra Mixtral 8x7B AWQ | 32K / 24.7 GB | 3 | 3 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 9 | 0 |
| SauerkrautLM Mixtral 8x7B AWQ | 32K / 27.4 GB | 7 | 1 |
🆘 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! 🌟