Arxiv:1902.00751 Arxiv:2212.05055 Arxiv:2305.14314 Arxiv:2401.02731 Autotrain compatible Camelidae Custom code Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:meta-math/metamathqa Dataset:open-orca/slimorca En Endpoints compatible Instruct Moe Pytorch Region:us Sharded
Camelidae 8x34B 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)
Camelidae 8x34B Parameters and Internals
| LLM Name | Camelidae 8x34B |
| Repository 🤗 | https://huggingface.co/hywu/Camelidae-8x34B |
| Required VRAM | 76 GB |
| Updated | 2024-10-11 |
| Maintainer | hywu |
| Model Type | camelidae |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | modeling_camelidae.LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <|startoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Camelidae 8x34B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Camelidae 8x7B | 4K / 15.6 GB | 1174 | 14 |
| Camelidae 8x13B | 4K / 29.4 GB | 1171 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than hywu/Camelidae-8x34B .
Rank the Camelidae 8x34B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803