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Llama 2 70B Orca 200K by ddobokki

 »  All LLMs  »  ddobokki  »  Llama 2 70B Orca 200K   URL Share it on

  1372   
  Autotrain compatible   Doi:10.57967/hf/1687   En   Endpoints compatible   Instruct   Instruction   Llama   Llama2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k 

Llama 2 70B Orca 200K Benchmarks

LLME Score: 0.13996
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 (ddobokki/Llama-2-70b-orca-200k)

Llama 2 70B Orca 200K Parameters and Internals

Model Type 
instruction, text-generation
Training Details 
Data Sources:
OpenOrca
Data Volume:
200k sampling
Input Output 
Input Format:
### Human: {Human} ### Assistant: {Assistant}
LLM NameLlama 2 70B Orca 200K
Repository 🤗https://huggingface.co/ddobokki/Llama-2-70b-orca-200k 
Model Size70b
Required VRAM138 GB
Updated2025-02-05
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

Quantized Models of the Llama 2 70B Orca 200K

Model
Likes
Downloads
VRAM
Llama 2 70B Orca 200K GGUF2240029 GB
Llama 2 70B Orca 200K AWQ2736 GB
Llama 2 70B Orca 200K GPTQ61936 GB
Llama 2 70B Orca 200K GGML3428 GB

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...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB2492842012
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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

🆘 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! 🌟

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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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