| Model Type |
| |||||||||
| Use Cases |
| |||||||||
| Supported Languages |
| |||||||||
| Training Details |
| |||||||||
| Input Output |
|
| LLM Name | Mixtral 8x7B Instruct V0.1 4bit |
| Repository ๐ค | https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit |
| Model Size | 24.2b |
| Required VRAM | 24.5 GB |
| Updated | 2025-09-23 |
| Maintainer | cmarkea |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it |
| Quantization Type | 4bit |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al 8x7B Instruct V0.1 4bit Bnb | 32K / 24.5 GB | 6 | 1 |
| ...al 8x7B Instruct V0.1 Bnb 4bit | 32K / 26.7 GB | 10 | 59 |
| Proto Athena 4x7B | 32K / 48.4 GB | 5 | 0 |
| Proto Athena V0.2 4x7B | 32K / 48.4 GB | 6 | 0 |
| ...erges MoE 4x7b V10 Mixtralv0.3 | 32K / 48.3 GB | 5 | 0 |
| MoE Merging | 32K / 48.3 GB | 1717 | 0 |
| Sixtyoneeighty 4x7B V1 | 32K / 48.3 GB | 5 | 0 |
| MixtureofMerges MoE 4x7bRP V11 | 32K / 48.3 GB | 0 | 1 |
| ...icon Mixtral87 Merged Torch212 | 32K / 26.7 GB | 6 | 0 |
| Eclipse Mistral 4x7b | 32K / 48.5 GB | 16 | 1 |
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