| Model Type |
| |||||||||
| Additional Notes |
| |||||||||
| Training Details |
| |||||||||
| Input Output |
|
| LLM Name | Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 |
| Repository ๐ค | https://huggingface.co/grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.4 GB |
| Updated | 2025-09-23 |
| Maintainer | grimjim |
| Model Type | mistral |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MistralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al Nemo Instruct 2407 Bnb 4bit | 128K / 8.3 GB | 4502 | 29 |
| ...istral Nemo Base 2407 Bnb 4bit | 128K / 8.3 GB | 1410 | 15 |
| ...t 3.5 0106 128K 4.0bpw H6 EXL2 | 128K / 3.9 GB | 8 | 1 |
| ...t 3.5 0106 128K 8.0bpw H8 EXL2 | 128K / 7.4 GB | 7 | 1 |
| Mistral 7B V0.3 Bnb 4bit | 32K / 4.1 GB | 405163 | 18 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 30437 | 28 |
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 26 | 0 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 133 | 1 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 13762 | 33 |
| Mixtral V0.3 Full 16bit | 32K / 14.5 GB | 6 | 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