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Llama 2 70B Orca 200K by ddobokki

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  Autotrain compatible   Doi:10.57967/hf/1687   En   Endpoints compatible   Instruct   Instruction   Llama   Llama2   Pytorch   Region:us   Sharded

Llama 2 70B Orca 200K Benchmarks

LLME Score: 0.15088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 2 70B Orca 200K Parameters and Internals

LLM NameLlama 2 70B Orca 200K
Repository 🤗https://huggingface.co/ddobokki/Llama-2-70b-orca-200k 
Model Size70b
Required VRAM138 GB
Updated2024-10-18
Maintainerddobokki
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Llama 2 70B Orca 200K (ddobokki/Llama-2-70b-orca-200k)

Quantized Models of the Llama 2 70B Orca 200K

Model
Likes
Downloads
VRAM
Llama 2 70B Orca 200K GGUF22140129 GB
Llama 2 70B Orca 200K AWQ21436 GB
Llama 2 70B Orca 200K GPTQ61036 GB
Llama 2 70B Orca 200K GGML31828 GB

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...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB19164471
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Note: green Score (e.g. "73.2") means that the model is better than ddobokki/Llama-2-70b-orca-200k.

Rank the Llama 2 70B Orca 200K Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v2024072803
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