Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.
| Model Type |
|
| LLM Name | Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ |
| Model Name | Mixtral 8X7B Instruct V0.1 LimaRP ZLoss DARE TIES |
| Model Creator | Doctor Shotgun |
| Base Model(s) | |
| Model Size | 46.7b |
| Required VRAM | 24.7 GB |
| Updated | 2026-08-02 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 5 | 0 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 2550 | 23 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 2333 | 43 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1045 | 59 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1248 | 16 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 9 | 0 |
| ...ixtral Instruct 8x7b Zloss AWQ | 32K / 24.7 GB | 0 | 2 |
| ...Instruct V0.1 LimaRP ZLoss AWQ | 32K / 24.7 GB | 8 | 1 |
| ...utLM Mixtral 8x7B Instruct AWQ | 32K / 24.7 GB | 61 | 2 |
| Dolphin 2.6 Mixtral 8x7b AWQ | 32K / 24.7 GB | 32 | 12 |