LLM Name | Swallow MX 8x7b NVE V0.1 |
Repository ๐ค | https://huggingface.co/tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1 |
Model Size | 46.7b |
Required VRAM | 93.6 GB |
Updated | 2025-01-23 |
Maintainer | tokyotech-llm |
Model Type | mixtral |
Model Files | |
Supported Languages | en ja |
Model Architecture | MixtralForCausalLM |
License | apache-2.0 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.37.2 |
Tokenizer Class | LlamaTokenizer |
Vocabulary Size | 32000 |
Torch Data Type | bfloat16 |
Model |
Likes |
Downloads |
VRAM |
---|---|---|---|
...arakuri Lm 8x7b Chat V0.1 8bit | 1 | 23 | 49 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 2372593 | 4270 |
Mixtral 8x7B V0.1 | 32K / 93.6 GB | 1924251 | 1664 |
Nous Hermes 2 Mixtral 8x7B DPO | 32K / 93.6 GB | 3498 | 421 |
GritLM 8x7B KTO | 32K / 93.6 GB | 3303 | 3 |
Smaug Mixtral V0.1 | 32K / 187.7 GB | 3401 | 12 |
XLAM 8x7b R | 32K / 93.6 GB | 3483 | 12 |
Dolphin 2.5 Mixtral 8x7b | 32K / 93.6 GB | 14471 | 1222 |
Sensualize Mixtral Bf16 | 32K / 93.6 GB | 0 | 0 |
Merge Mixtral Prometheus 8x7B | 32K / 91.9 GB | 25 | 2 |
Skadi Mixtral V1 | 32K / 93.5 GB | 0 | 0 |
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