Model Type |
| |||||||||||||
Use Cases |
| |||||||||||||
Supported Languages |
| |||||||||||||
Training Details |
| |||||||||||||
Input Output |
| |||||||||||||
Release Notes |
|
LLM Name | Merak 7B V2 GGML |
Repository 🤗 | https://huggingface.co/asyafiqe/Merak-7B-v2-GGML |
Model Size | 7b |
Required VRAM | 2.9 GB |
Updated | 2024-12-29 |
Maintainer | asyafiqe |
Model Type | llama |
Model Files | |
Supported Languages | id en |
GGML Quantization | Yes |
Quantization Type | ggml |
Model Architecture | LlamaForCausalLM |
License | llama2 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.32.0.dev0 |
Vocabulary Size | 32000 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Cria Llama2 7B V1.3 GGML | 4K / 3.8 GB | 680 | 0 |
Nb Sau 7B 8K Step100k | 4K / 13.5 GB | 14 | 1 |
Ennodata 7B | 2K / 13.5 GB | 1437 | 0 |
Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 15 | 4 |
Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 15 | 3 |
Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 19 | 1 |
Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 16 | 1 |
Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 16 | 1 |
Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 15 | 1 |
Chef Ai | 32K / 14.4 GB | 21 | 0 |
🆘 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! 🌟