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EVA Qwen2.5 7B V0.0 by EVA-UNIT-01

 »  All LLMs  »  EVA-UNIT-01  »  EVA Qwen2.5 7B V0.0   URL Share it on

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Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b Dataset:allura-org/celeste-1.x... Dataset:allura-org/shortstorie... Dataset:anthracite-org/kalo-op... Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-... Dataset:gryphe/chatgpt-4o-writ... Dataset:gryphe/sonnet3.5-charc... Dataset:gryphe/sonnet3.5-slimo... Dataset:nopm/opus writingstruc... Dataset:nothingiisreal/reddit-...   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.0 

EVA Qwen2.5 7B V0.0 Benchmarks

LLME Score: 0.23615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVA Qwen2.5 7B V0.0 (EVA-UNIT-01/EVA-Qwen2.5-7B-v0.0)

EVA Qwen2.5 7B V0.0 Parameters and Internals

Model Type 
RP/storywriting specialist
Training Details 
Data Sources:
AuriAetherwiing/Allura, anthracite-org/kalo-opus-instruct-22k-no-refusal, Nopm/Opus_WritingStruct, Gryphe/Sonnet3.5-SlimOrcaDedupCleaned, Gryphe/Sonnet3.5-Charcard-Roleplay, Gryphe/ChatGPT-4o-Writing-Prompts, AuriAetherwiing/shortstories_synthlabels, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, nothingiisreal/Reddit-Dirty-And-WritingPrompts
Training Time:
5 hours
Hardware Used:
4xA6000
Model Architecture:
Full-parameter finetune on Qwen2.5-7B using Celeste 70B 0.1 data mixture
Input Output 
Input Format:
ChatML
Performance Tips:
Model prefers lower temperatures (at least 0.9 and lower) and dislikes Min-P sampler.
LLM NameEVA Qwen2.5 7B V0.0
Repository 🤗https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.0 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-12-22
MaintainerEVA-UNIT-01
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than EVA-UNIT-01/EVA-Qwen2.5-7B-v0.0.

Rank the EVA Qwen2.5 7B V0.0 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 v20241217
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