Llama Polya V2 by Llama-Math

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  Autotrain compatible Base model:finetune:nousresear... Base model:nousresearch/llama-...   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us

Llama Polya V2 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 Polya V2 Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf).
Training Details 
Data Sources:
/workspace/axolotl/dataset/conversations.jsonl
Context Length:
4096
LLM NameLlama Polya V2
Repository ๐Ÿค—https://huggingface.co/Llama-Math/llama-polya-v2 
Base Model(s)  Llama 2 7B Hf   NousResearch/Llama-2-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2025-06-09
MaintainerLlama-Math
Model Typellama
Model Files  13.5 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Llama Polya V2 (Llama-Math/llama-polya-v2)

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Note: green Score (e.g. "73.2") means that the model is better than Llama-Math/llama-polya-v2.

Rank the Llama Polya V2 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 v20241124