H2ogpt Mixtral 8x7b 32K AWQ is an open-source language model by h2oai. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.
| LLM Name | H2ogpt Mixtral 8x7b 32K AWQ |
| Repository 🤗 | https://huggingface.co/h2oai/h2ogpt-mixtral-8x7b-32k-awq |
| Model Size | 46.7b |
| Required VRAM | 24.7 GB |
| Updated | 2026-07-27 |
| Maintainer | h2oai |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...kaLM Mixtral 8x7B V0.2 DPO AWQ | 32K / 24.7 GB | 6 | 0 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 5 | 0 |
| Karakuri Lm 8x7b Chat V0.1 AWQ | 32K / 24.7 GB | 7 | 0 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 2550 | 23 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 2333 | 43 |
| Functionary Medium V2.4 AWQ | 32K / 24.7 GB | 5 | 3 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1045 | 59 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1248 | 16 |
| Synatra Mixtral 8x7B AWQ | 32K / 24.7 GB | 8 | 3 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 9 | 0 |