LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

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

 »  All LLMs  »  EVA-UNIT-01  »  EVA Qwen2.5 14B V0.0   URL Share it on

  13   

EVA Qwen2.5 14B V0.0 is an open-source language model by EVA-UNIT-01. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

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
Model Card on HF 🤗: https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0 

EVA Qwen2.5 14B V0.0 Benchmarks

LLME Score: 0.15986
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)
🌟 Advertise your project 🚀

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 🤗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
Updated2026-04-01
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

Best Alternatives to EVA Qwen2.5 14B V0.0

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB51877334
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB148
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB1138
Qwen2.5 14B YOYO V4986K / 29.7 GB65
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB324
Impish QWEN 14B 1M986K / 29.7 GB3924
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0.

Rank the EVA Qwen2.5 14B V0.0 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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer