Llama 13B Hf Prompt Answering by Sandiago21

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  8-bit   Autotrain compatible   Decapoda-research-13b-hf   En   Endpoints compatible   Llama   Lora   Peft   Prompt answering   Pytorch   Region:us   Safetensors

Llama 13B Hf Prompt Answering Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 13B Hf Prompt Answering Parameters and Internals

Model Type 
Causal LM
Use Cases 
Primary Use Cases:
Prompt answering, Generating text
Considerations:
Users should be aware of the risks, biases, and limitations of the model.
Training Details 
Training Time:
approximately 10 hours on a single GPU
Model Architecture:
Model is based on decapoda-research/llama-7b-hf and finetuned adapters on top of the main model on conversations and question answering data.
LLM NameLlama 13B Hf Prompt Answering
Repository ๐Ÿค—https://huggingface.co/Sandiago21/llama-13b-hf-prompt-answering 
Model Size13b
Required VRAM0 GB
Updated2025-06-09
MaintainerSandiago21
Model Files  0.0 GB   14.0 GB   14.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseother
Is Biasednone
Tokenizer ClassLlamaTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param4
Llama 13B Hf Prompt Answering (Sandiago21/llama-13b-hf-prompt-answering)

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Note: green Score (e.g. "73.2") means that the model is better than Sandiago21/llama-13b-hf-prompt-answering.

Rank the Llama 13B Hf Prompt Answering 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  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124