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Lima Unchained 70B by psmathur

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  Arxiv:2305.11206   Autotrain compatible Dataset:psmathur/lima unchaine...   En   Endpoints compatible   Fp16   Llama   Model-index   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/Lima_Unchained_70b 

Lima Unchained 70b Benchmarks

ARC: 68.26 vs 96.7 (so35)-29.4%
HellaSwag: 87.65 vs 95.3 (gpt4)-8%
MMLU: 70 vs 88.3 (so35)-20.7%
TruthfulQA: 48.76 vs 59 (gpt4)-17.4%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 34.72 vs 96.4 (so35)-64%
LLME Score: 0.13058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lima Unchained 70B (pankajmathur/Lima_Unchained_70b)
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Lima Unchained 70B Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Possibility of generating inappropriate, biased, or offensive content.
Considerations:
Exercise caution and verify information.
Training Details 
Data Sources:
psmathur/lima_unchained_v1
Methodology:
Fine-tuning using QLora on linear layers with selected ~900 conversations from the Lima dataset.
Input Output 
Input Format:
Expected format for prompts as seen in example usage.
Accepted Modalities:
text
Output Format:
Generated text responses.
Performance Tips:
Use optimal hyperparameters for generation such as top_p=0.95, top_k=0, max_new_tokens=4096.
LLM NameLima Unchained 70b
Repository 🤗https://huggingface.co/pankajmathur/Lima_Unchained_70b 
Model Size70b
Required VRAM138 GB
Updated2025-09-19
Maintainerpsmathur
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   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/Lima_Unchained_70b.

Rank the Lima Unchained 70B 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  
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