| Model Type |
| ||||||
| Use Cases |
| ||||||
| Additional Notes |
| ||||||
| Training Details |
|
| LLM Name | Mistral 7B MoEified 8x |
| Repository ๐ค | https://huggingface.co/kalomaze/Mistral-7b-MoEified-8x |
| Model Size | 7b |
| Required VRAM | 14.6 GB |
| Updated | 2025-09-23 |
| Maintainer | kalomaze |
| Model Type | mixtral |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|gguf |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 7Bx2 MoE GGUF | 32K / 4.8 GB | 146 | 3 |
| Laserxtral GGUF | 32K / 8.8 GB | 223 | 20 |
| Laserxtral GGUF | 32K / 8.8 GB | 122 | 20 |
| ...izardLM 2 4x7B MoE EXL2 3 0bpw | 32K / 9.4 GB | 7 | 1 |
| Buttercup 4x7B 6bpw EXL2 | 32K / 18.4 GB | 7 | 2 |
| BurningBruce 003 EXL2 B8.0 | 32K / 24.3 GB | 8 | 1 |
| ...ixtral 2x7b DPO 8.0bpw H8 EXL2 | 32K / 13 GB | 6 | 4 |
| ...ixtral 2x7b DPO 6.0bpw H6 EXL2 | 32K / 9.8 GB | 5 | 1 |
| ...ixtral 2x7b DPO 4.0bpw H6 EXL2 | 32K / 6.7 GB | 2 | 1 |
| ...ixtral 2x7b DPO 5.0bpw H6 EXL2 | 32K / 8.3 GB | 1 | 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