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EVA Qwen2.5 14B V0.1 by EVA-UNIT-01

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EVA Qwen2.5 14B V0.1 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-v0.1 

EVA Qwen2.5 14B V0.1 Benchmarks

LLME Score: 0.16007
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 V0.1 (EVA-UNIT-01/EVA-Qwen2.5-14B-v0.1)
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EVA Qwen2.5 14B V0.1 Parameters and Internals

Model Type 
RP/storywriting specialist
Additional Notes 
Note: using quantized KV cache with Qwen2.5 is not recommended and can lead to degraded output quality. Using f16 should be okay.
Training Details 
Data Sources:
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, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, nothingiisreal/Reddit-Dirty-And-WritingPrompts, allura-org/Celeste-1.x-data-mixture, allura-org/shortstories_synthlabels
Methodology:
Full-parameter finetune of Qwen2.5-7B on mixture of synthetic and natural data
Input Output 
Input Format:
ChatML
Performance Tips:
Using quantized KV cache with Qwen2.5 is not recommended. Recommended sampler values are: Temperature 0.87, Top-P 0.81, Min-P 0.0025, Repetition Penalty 1.03. Temperature lower than 1 is recommended, but can perform okay with higher temp and Min-P.
Release Notes 
Version:
0.1
Notes:
Dataset was deduped and cleaned from version 0.0, sequence length increased. Model is stabler, problems with handling short inputs and min_p sampling seem resolved. This is epoch 2.7 checkpoint. Problems with quantized KV cache. Recommended sampler values added.
LLM NameEVA Qwen2.5 14B V0.1
Repository 🤗https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.1 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2026-02-04
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 Version4.45.1
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-v0.1.

Rank the EVA Qwen2.5 14B V0.1 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  
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