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1.5 Pints 2K V0.1 by pints-ai

 »  All LLMs  »  pints-ai  »  1.5 Pints 2K V0.1   URL Share it on

  6   
  Arxiv:2408.03506   Conversational Dataset:huggingfaceh4/deita-10... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   Dataset:ldjnr/capybara   Dataset:meta-math/metamathqa Dataset:open-orca/slimorca-ded... Dataset:pints-ai/expository-pr... Dataset:togethercomputer/llama... Dataset:wizardlm/wizardlm evol...   En   Instruct   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pints-ai/1.5-Pints-2K-v0.1 

1.5 Pints 2K V0.1 Benchmarks

MMLU Pro: 1.15
MUSR: 1.84
BBH: 2.37
IFEval: 17.62 vs 88 (so35)-80%
MATH Lvl 5: 1.28
LLME Score: 0.18222
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
1.5 Pints 2K V0.1 (pints-ai/1.5-Pints-2K-v0.1)
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1.5 Pints 2K V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text-generation
Primary Use Cases:
Assistance and reasoning
Considerations:
Use with Retrieval Augmented Generation for improved knowledge retrieval.
Additional Notes 
Focuses on data quality for efficiency and environmentally friendly training
Supported Languages 
en (proficient)
Training Details 
Data Sources:
pints-ai/Expository-Prose-V1, HuggingFaceH4/ultrachat_200k, Open-Orca/SlimOrca-Dedup, meta-math/MetaMathQA, HuggingFaceH4/deita-10k-v0-sft, WizardLM/WizardLM_evol_instruct_V2_196k, togethercomputer/llama-instruct, LDJnr/Capybara, HuggingFaceH4/ultrafeedback_binarized
Data Volume:
57 billion tokens
Methodology:
Pre-Train and Finetuning used a fork of the LitGPT Framework
Context Length:
2048
Model Architecture:
Llama 2 Autoregressive Model with Mistral tokenizer
Input Output 
Accepted Modalities:
text
Performance Tips:
Use repetition penalty of 1.3 for full performance.
LLM Name1.5 Pints 2K V0.1
Repository 🤗https://huggingface.co/pints-ai/1.5-Pints-2K-v0.1 
Model Size1.6b
Required VRAM3.1 GB
Updated2025-09-23
Maintainerpints-ai
Model Typellama
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pints-ai/1.5-Pints-2K-v0.1.

Rank the 1.5 Pints 2K V0.1 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.
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