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ECE PRYMMAL 0.5B FT V3 MUSR by Youlln

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ECE PRYMMAL 0.5B FT V3 MUSR is an open-source language model by Youlln. Features: 0.5b LLM, VRAM: 2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

  Arxiv:1910.09700 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-0.5b   Conversational   Dataset:taur-lab/musr   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR 

ECE PRYMMAL 0.5B FT V3 MUSR Benchmarks

MMLU Pro: 7.16
MUSR: 3.25
BBH: 5.06
IFEval: 15.33 vs 88 (so35)-82.6%
MATH Lvl 5: 2.42
LLME Score: 0.17493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE PRYMMAL 0.5B FT V3 MUSR (Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR)
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ECE PRYMMAL 0.5B FT V3 MUSR Parameters and Internals

LLM NameECE PRYMMAL 0.5B FT V3 MUSR
Repository 🤗https://huggingface.co/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR 
Base Model(s)  Qwen/Qwen2-0.5B   Qwen/Qwen2-0.5B
Model Size0.5b
Required VRAM2 GB
Updated2026-04-04
MaintainerYoulln
Model Typeqwen2
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
Qwen2 0.5B Stf Imdb128K / 1 GB60
...44 45ee 44f3 934d Ddc8b6e082f1128K / 1 GB80
...wen199f16 Merged FinetunedByAG128K / 1 GB60
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB60
Note: green Score (e.g. "73.2") means that the model is better than Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR.

Rank the ECE PRYMMAL 0.5B FT V3 MUSR Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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