Qwen2.5 7B CelestialHarmony 1M by ZeroXClem

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Qwen2.5 7B CelestialHarmony 1M is an open-source language model by ZeroXClem. Features: 7b LLM, VRAM: 14.8GB, Context: 986K, License: mit, Instruction-Based, Merged, LLM Explorer Score: 0.27.

  Merged Model   Arxiv:2501.15383 Base model:bunnycore/qwen2.5-7... Base model:huihui-ai/qwen2.5-7... Base model:qwen/qwen2.5-7b-ins...   Base model:sakalti/sjt-7b-1m Base model:triangle104/q2.5-in...   Conversational   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 7B CelestialHarmony 1M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2.5 7B CelestialHarmony 1M Parameters and Internals

LLM NameQwen2.5 7B CelestialHarmony 1M
Repository 🤗https://huggingface.co/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct-1M   SJT 7B 1M   Triangle104/Q2.5-Instruct-1M_Harmony   bunnycore/Qwen2.5-7B-RRP-1M   huihui-ai/Qwen2.5-7B-Instruct-1M-abliterated   Qwen/Qwen2.5-7B-Instruct-1M   Sakalti/SJT-7B-1M   Triangle104/Q2.5-Instruct-1M_Harmony   bunnycore/Qwen2.5-7B-RRP-1M   huihui-ai/Qwen2.5-7B-Instruct-1M-abliterated
Merged ModelYes
Model Size7b
Required VRAM14.8 GB
Updated2026-04-16
MaintainerZeroXClem
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 GB: 1-of-16   1.1 GB: 2-of-16   0.9 GB: 3-of-16   0.9 GB: 4-of-16   0.9 GB: 5-of-16   0.9 GB: 6-of-16   0.9 GB: 7-of-16   0.9 GB: 8-of-16   0.9 GB: 9-of-16   0.9 GB: 10-of-16   0.9 GB: 11-of-16   0.9 GB: 12-of-16   0.9 GB: 13-of-16   0.9 GB: 14-of-16   0.9 GB: 15-of-16   0.9 GB: 16-of-16
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length1010000
Model Max Length1010000
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B CelestialHarmony 1M

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB192
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB263
Note: green Score (e.g. "73.2") means that the model is better than ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M.

Rank the Qwen2.5 7B CelestialHarmony 1M 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 v20260328a