01 Ai Yi 1.5 9B AWQ 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)
01 Ai Yi 1.5 9B AWQ Parameters and Internals
| LLM Name | 01 Ai Yi 1.5 9B AWQ |
| Repository 🤗 | https://huggingface.co/Ichigo2899/01-ai-Yi-1.5-9B-AWQ |
| Model Size | 9b |
| Required VRAM | 5.4 GB |
| Updated | 2024-09-07 |
| Maintainer | Ichigo2899 |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to 01 Ai Yi 1.5 9B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 1.5 9B Chat AWQ | 4K / 5.3 GB | 5 | 0 |
| 01 Ai Yi 1.5 9B Chat AWQ | 4K / 5.4 GB | 5 | 0 |
| Yi 9B 200K 3.0bpw H6 EXL2 | 256K / 3.9 GB | 1 | 1 |
| Yi 9B 200K 6.0bpw H6 EXL2 | 256K / 7 GB | 1 | 1 |
| Faro Yi 9B DPO 8bpw EXL2 | 32K / 8.3 GB | 2 | 1 |
| Faro Yi 9B DPO 6bpw EXL2 | 32K / 7 GB | 1 | 1 |
| Master Yi 9B 8.0bpw H8 EXL2 | 4K / 8.7 GB | 1 | 2 |
| Master Yi 9B 3.0bpw H6 EXL2 | 4K / 3.9 GB | 2 | 1 |
| Master Yi 9B 4.0bpw H6 EXL2 | 4K / 4.9 GB | 1 | 1 |
| Master Yi 9B 5.0bpw H6 EXL2 | 4K / 5.9 GB | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Ichigo2899/01-ai-Yi-1.5-9B-AWQ .
Rank the 01 Ai Yi 1.5 9B AWQ 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? 35941 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803