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ECE 1B Merge PRYMMAL by LilRg

 »  All LLMs  »  LilRg  »  ECE 1B Merge PRYMMAL   URL Share it on

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  Merged Model   Base model:qwen/qwen2.5-1.5b Base model:qwen/qwen2.5-1.5b-i...   Instruct   Qwen/qwen2.5-1.5b   Qwen/qwen2.5-1.5b-instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LilRg/ECE-1B-merge-PRYMMAL 

ECE 1B Merge PRYMMAL Benchmarks

MMLU Pro: 21.18
GPQA: 4.14
MUSR: 5.28
BBH: 19.14
IFEval: 27.12 vs 88 (so35)-69.2%
MATH Lvl 5: 9.21
LLME Score: 0.26258
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE 1B Merge PRYMMAL (LilRg/ECE-1B-merge-PRYMMAL)

ECE 1B Merge PRYMMAL Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a merge using LazyMergekit and specializes in text generation.
Training Details 
Methodology:
Merge of Qwen/Qwen2.5-1.5B-Instruct and Qwen/Qwen2.5-1.5B using LazyMergekit
Input Output 
Accepted Modalities:
text
LLM NameECE 1B Merge PRYMMAL
Repository 🤗https://huggingface.co/LilRg/ECE-1B-merge-PRYMMAL 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B
Merged ModelYes
Model Size1b
Required VRAM3.6 GB
Updated2025-02-05
MaintainerLilRg
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB: 1-of-4   1.0 GB: 2-of-4   1.0 GB: 3-of-4   0.6 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Qwen2.5 1B Instruct32K / 2 GB870
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NanoLM 1B Instruct V24K / 2.1 GB220
NanoLM 1B Instruct V1.14K / 2.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than LilRg/ECE-1B-merge-PRYMMAL.

Rank the ECE 1B Merge PRYMMAL Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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