EVA Qwen2.5 14B V0.0 by EVA-UNIT-01

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Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b 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

EVA Qwen2.5 14B V0.0 Benchmarks

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 14B V0.0 (EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0)

EVA Qwen2.5 14B V0.0 Parameters and Internals

Model Type 
RP/storywriting specialist
Additional Notes 
A role-playing/storywriting specialist model, fully fine-tuned on synthetic and natural data to improve versatility, creativity, and 'flavor'. Recommended sampler values: - Temperature: 0.7 - Top-P: 0.8 - Repetition Penalty: 1.03 Special thanks to dataset contributors and community support.
Training Details 
Data Sources:
Celeste 70B 0.1 data mixture minus Opus Instruct subset, Kalomaze's Opus_Instruct_25k dataset, filtered for refusals, A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe, A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe, A cleaned subset (~3k rows) of shortstories_synthlabels by Auri, Synthstruct and SynthRP datasets by Epiculous
Training Time:
14 hours
Hardware Used:
4xA6000
Input Output 
Input Format:
ChatML
Performance Tips:
Model appears to prefer lower temperatures (at least 0.8 and lower) and absolutely hate Min-P sampler.
LLM NameEVA Qwen2.5 14B V0.0
Repository ๐Ÿค—https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2024-12-21
MaintainerEVA-UNIT-01
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6   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-Qwen2.5-14B-v0.0.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217