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TinyDolphin 2.8.2 1.1B Laser by cognitivecomputations

 »  All LLMs  »  cognitivecomputations  »  TinyDolphin 2.8.2 1.1B Laser   URL Share it on

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  Merged Model   Autotrain compatible   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62...   Dataset:teknium/openhermes   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser 

TinyDolphin 2.8.2 1.1B Laser Benchmarks

ARC: 33.36 vs 96.7 (so35)-65.5%
HellaSwag: 58.53 vs 95.3 (gpt4)-38.6%
MMLU: 25.93 vs 88.3 (so35)-70.6%
TruthfulQA: 36.33 vs 59 (gpt4)-38.4%
WinoGrande: 60.14 vs 87.5 (gpt4)-31.3%
GSM8K: 1.29 vs 96.4 (so35)-98.7%
LLME Score: 0.19529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyDolphin 2.8.2 1.1B Laser (cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser)
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TinyDolphin 2.8.2 1.1B Laser Parameters and Internals

Model Type 
Text Generation
Additional Notes 
This version uses the 'laser' technique to denoise the model.
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, teknium/openhermes
Data Volume:
Dolphin 2.8 dataset
Methodology:
Denoising
Hardware Used:
3 NVIDIA GeForce RTX 3090
Model Architecture:
Llama 2 architecture
Release Notes 
Version:
3
Notes:
Increase in epochs and refined datasets used.
LLM NameTinyDolphin 2.8.2 1.1B Laser
Repository 🤗https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser 
Merged ModelYes
Model Size1.1b
Required VRAM2.2 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser.

Rank the TinyDolphin 2.8.2 1.1B Laser 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
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