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Qwen2 0.5B Abyme by CoolSpring

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  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-0.5b   Conversational Dataset:magpie-align/magpie-qw...   En   Endpoints compatible   Generated from trainer   Pytorch   Qwen2   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/CoolSpring/Qwen2-0.5B-Abyme 

Qwen2 0.5B Abyme Benchmarks

MMLU Pro: 3.7
GPQA: 0.45
MUSR: 1.48
BBH: 2.28
IFEval: 19.15 vs 88 (so35)-78.2%
MATH Lvl 5: 1.74
LLME Score: 0.22202
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Abyme (CoolSpring/Qwen2-0.5B-Abyme)

Qwen2 0.5B Abyme Parameters and Internals

LLM NameQwen2 0.5B Abyme
Repository 🤗https://huggingface.co/CoolSpring/Qwen2-0.5B-Abyme 
Base Model(s)  Qwen/Qwen2-0.5B   Qwen/Qwen2-0.5B
Model Size0.5b
Required VRAM1 GB
Updated2025-02-05
MaintainerCoolSpring
Model Typeqwen2
Model Files  1.0 GB   1.0 GB   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 0.5B Abyme

Best Alternatives
Context / RAM
Downloads
Likes
Reader Lm 0.5B250K / 1 GB423135
Qwen2 0.5B128K / 1 GB627450127
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB1390
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB1370
Qwen2 0.5B128K / 1 GB63202
ECE PRYMMAL0.5B Youri128K / 1.3 GB11
Note: green Score (e.g. "73.2") means that the model is better than CoolSpring/Qwen2-0.5B-Abyme.

Rank the Qwen2 0.5B Abyme 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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Release v20241227
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