Model Card on HF 🤗: https://huggingface.co/fakezeta/Yi-1.5-34B-Chat-ov-int4
Yi 1.5 34B Chat Ov Int4 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 1.5 34B Chat Ov Int4 Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Yi 1.5 34B Chat Ov Int4 |
| Repository 🤗 | https://huggingface.co/fakezeta/Yi-1.5-34B-Chat-ov-int4 |
| Model Size | 34b |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | fakezeta |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
Best Alternatives to Yi 1.5 34B Chat Ov Int4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Casual Magnum 34B | 195K / 68.8 GB | 14 | 1 |
| 34B Beta | 195K / 69.2 GB | 3729 | 63 |
| Bagel 34B V0.2 | 195K / 68.7 GB | 6790 | 40 |
| Bagel Hermes 34B Slerp | 195K / 68.9 GB | 3894 | 1 |
| Smaug 34B V0.1 | 195K / 69.2 GB | 3672 | 60 |
| Yi 34B 200K | 195K / 68.9 GB | 6015 | 318 |
| Yi 34B 200K AEZAKMI V2 | 195K / 69.2 GB | 2007 | 12 |
| Faro Yi 34B | 195K / 69.2 GB | 3612 | 6 |
| Smaug 34B V0.1 ExPO | 195K / 69.2 GB | 1972 | 0 |
| Mergekit Slerp Anaazls | 195K / 69.2 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than fakezeta/Yi-1.5-34B-Chat-ov-int4 .
Rank the Yi 1.5 34B Chat Ov Int4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227