Model Card on HF 🤗: https://huggingface.co/LoneStriker/Yi-34B-5.0bpw-h6-exl2
Yi 34B 5.0bpw H6 EXL2 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)
Yi 34B 5.0bpw H6 EXL2 Parameters and Internals
| LLM Name | Yi 34B 5.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Yi-34B-5.0bpw-h6-exl2 |
| Model Size | 34b |
| Required VRAM | 22.2 GB |
| Updated | 2024-12-26 |
| Maintainer | LoneStriker |
| Model Type | Yi |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | YiForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | YiTokenizer |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 34B 5.0bpw H6 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...lpaca Rpv3 Scipy 4bpw Hb6 EXL2 | 195K / 18.7 GB | 15 | 2 |
| ...200K Alpaca Rpv3 4bpw Hb6 EXL2 | 195K / 18.7 GB | 20 | 2 |
| Yi 34B 200K 4.65bpw H6 EXL2 | 195K / 20.8 GB | 11 | 6 |
| Yi 34B 200K 4.0bpw H6 EXL2 | 195K / 18.1 GB | 11 | 4 |
| Yi 34B 200K 8.0bpw H8 EXL2 | 195K / 34.8 GB | 11 | 3 |
| Yi 34B 200K 5.0bpw H6 EXL2 | 195K / 22.3 GB | 10 | 1 |
| Deepsex 34B 4bpw H8 EXL2 | 4K / 18.1 GB | 25 | 4 |
| Deepsex 34B 4bpw H6 EXL2 | 4K / 18.1 GB | 11 | 3 |
| Yi 34B 4.0bpw H6 EXL2 | 4K / 18.1 GB | 10 | 2 |
| Yi 34B 8.0bpw H8 EXL2 | 4K / 34.9 GB | 14 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-5.0bpw-h6-exl2 .
Rank the Yi 34B 5.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217