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Qllama .5B RAG 1 by Josephgflowers

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Qllama-.5B-RAG-1 

Qllama .5B RAG 1 Benchmarks

ARC: 31.83 vs 96.7 (so35)-67.1%
HellaSwag: 44.62 vs 95.3 (gpt4)-53.2%
MMLU: 30.72 vs 88.3 (so35)-65.2%
TruthfulQA: 37.34 vs 59 (gpt4)-36.7%
WinoGrande: 53.67 vs 87.5 (gpt4)-38.7%
GSM8K: 8.95 vs 96.4 (so35)-90.7%
LLME Score: 0.22954
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qllama .5B RAG 1 (Josephgflowers/Qllama-.5B-RAG-1)

Qllama .5B RAG 1 Parameters and Internals

Additional Notes 
This model needs further fine-tuning.
Training Details 
Data Sources:
wikidata, math datasets, science datasets, chat datasets, rag data
Methodology:
Fine-tuned 1 epoch
Model Architecture:
Based on Cinder data
LLM NameQllama .5B RAG 1
Repository 🤗https://huggingface.co/Josephgflowers/Qllama-.5B-RAG-1 
Model Size464m
Required VRAM0 GB
Updated2025-02-22
MaintainerJosephgflowers
Model Typellama
Model Files  0.9 GB   0.0 GB   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Qllama Tiny .5B Test 14K / 0 GB1650
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Core1 Base 464M Redpajama4K / 0.9 GB1691
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Qllama-.5B-RAG-1.

Rank the Qllama .5B RAG 1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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