Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Endpoints compatible Ext 8k Ggml Llama Nb Nn No Pytorch Q4 Quantized Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/NbAiLab/nb-sau-7b-8k-step100k
Nb Sau 7B 8K Step100k Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nb Sau 7B 8K Step100k Parameters and Internals
| Supported Languages |
|
| LLM Name | Nb Sau 7B 8K Step100k |
| Repository 🤗 | https://huggingface.co/NbAiLab/nb-sau-7b-8k-step100k |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-12-21 |
| Maintainer | NbAiLab |
| Model Type | llama |
| Model Files | |
| Supported Languages | no nn nb |
| GGML Quantization | Yes |
| Context Length | 8k |
| Quantization Type | ggml|q4 |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | float16 |
Best Alternatives to Nb Sau 7B 8K Step100k
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Cria Llama2 7B V1.3 GGML | 4K / 3.8 GB | 734 | 0 |
| Merak 7B V2 GGML | 4K / 2.9 GB | 14 | 4 |
| Ennodata 7B | 2K / 13.5 GB | 1437 | 0 |
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 14 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 14 | 3 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 18 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 15 | 1 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 14 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 14 | 1 |
| Chef Ai | 32K / 14.4 GB | 21 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NbAiLab/nb-sau-7b-8k-step100k .
Rank the Nb Sau 7B 8K Step100k Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 40013 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217