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Instruct Llama70B Dolly15k by Brillibits

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  Autotrain compatible Dataset:databricks/databricks-...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Brillibits/Instruct_Llama70B_Dolly15k 

Instruct Llama70B Dolly15k Benchmarks

ARC: 68.34 vs 96.7 (so35)-29.3%
HellaSwag: 87.21 vs 95.3 (gpt4)-8.5%
MMLU: 69.52 vs 88.3 (so35)-21.3%
TruthfulQA: 46.46 vs 59 (gpt4)-21.3%
WinoGrande: 84.29 vs 87.5 (gpt4)-3.7%
GSM8K: 42.68 vs 96.4 (so35)-55.7%
LLME Score: 0.16423
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruct Llama70B Dolly15k (Brillibits/Instruct_Llama70B_Dolly15k)

Instruct Llama70B Dolly15k Parameters and Internals

Model Type 
text generation, auto-regressive language model
Use Cases 
Areas:
research, commercial applications
Supported Languages 
English (proficient)
Training Details 
Data Sources:
databricks/databricks-dolly-15k
Methodology:
Trained with QLora and a 1024 context window. Fine-tuned on Dolly15k dataset with 80% training, 15% validation, and 5% test split.
Context Length:
1024
Model Architecture:
Llama 2 transformer architecture
Input Output 
Input Format:
Prompt templates with or without context.
Accepted Modalities:
text
Output Format:
Text output as predictions or answers.
Performance Tips:
Provide context in prompts for improved results.
LLM NameInstruct Llama70B Dolly15k
Repository 🤗https://huggingface.co/Brillibits/Instruct_Llama70B_Dolly15k 
Model Size70b
Required VRAM138 GB
Updated2025-02-22
MaintainerBrillibits
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   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
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Brillibits/Instruct_Llama70B_Dolly15k.

Rank the Instruct Llama70B Dolly15k 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  
Multi-Language Support and Translation  

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