| Model Type | 
 | |||
| Additional Notes | 
 | |||
| Input Output | 
 | 
| LLM Name | Mixtralnt 4x7b Test AWQ | 
| Repository ๐ค | https://huggingface.co/TheBloke/mixtralnt-4x7b-test-AWQ | 
| Model Name | Mixtralnt 4X7B Test | 
| Model Creator | Charles Goddard | 
| Base Model(s) | |
| Model Size | 3.5b | 
| Required VRAM | 13 GB | 
| Updated | 2025-09-23 | 
| Maintainer | TheBloke | 
| Model Type | mixtral | 
| Model Files | |
| AWQ Quantization | Yes | 
| Quantization Type | awq | 
| Model Architecture | MixtralForCausalLM | 
| License | cc-by-nc-4.0 | 
| 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 | 
|---|---|---|---|
| BeyondInfinity V2 4x7B AWQ | 32K / 13 GB | 9 | 1 | 
| ...r Dolphin Mixtral 4x7b DPO AWQ | 32K / 13 GB | 5 | 1 | 
| Everyone Coder 4x7b Base AWQ | 32K / 13 GB | 2 | 2 | 
| Beyonder 4x7B V2 AWQ | 32K / 13 GB | 6 | 3 | 
| ... Fusion 4x7B Instruct V0.1 AWQ | 32K / 13 GB | 30 | 2 | 
๐ 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! ๐