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Model 51 by pankajmathur

 »  All LLMs  »  pankajmathur  »  Model 51   URL Share it on

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  Arxiv:2306.02707   Autotrain compatible   Dataset:ehartford/dolphin Dataset:pankajmathur/orca mini...   En   Endpoints compatible   Fp16   Llama   Model-index   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/pankajmathur/model_51 

Model 51 Benchmarks

LLME Score: 0.11272
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model 51 (pankajmathur/model_51)

Model 51 Parameters and Internals

Model Type 
text generation
Additional Notes 
While it aims for accuracy, the model can produce errors or biased content. Exercise caution when using outputs.
Supported Languages 
en (English)
Training Details 
Data Sources:
ehartford/dolphin, pankajmathur/orca_mini_v1_dataset
Input Output 
Input Format:
Markdown/Python-style prompts with context and system commands.
Accepted Modalities:
text
Output Format:
Generated text responses with concerning prompt.
Performance Tips:
Use 'load-in-4bit' option with 45GB VRAM GPU for best performance.
LLM NameModel 51
Repository 🤗https://huggingface.co/pankajmathur/model_51 
Model Size70b
Required VRAM138 GB
Updated2025-04-29
Maintainerpankajmathur
Model Typellama
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
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/model_51.

Rank the Model 51 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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