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Opus V0 7B by dreamgen

 »  All LLMs  »  dreamgen  »  Opus V0 7B   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/dreamgen/opus-v0-7b 

Opus V0 7B Benchmarks

LLME Score: 0.12338
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opus V0 7B (dreamgen/opus-v0-7b)
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Opus V0 7B Parameters and Internals

Model Type 
text generation, story writing, chat, roleplay
Use Cases 
Areas:
research, story writing, chat, RP
Primary Use Cases:
collaborative story writing, chat, roleplay
Additional Notes 
Quantized versions manifest significant performance degradation compared to the original. The model should be compatible with any software that supports Mistral-7B-v0.1.
Training Details 
Data Sources:
1M tokens of collaborative writing task examples, 20M tokens of more general examples
Data Volume:
>1M tokens for collaborative writing, >20M tokens for general cases
Context Length:
4096
LLM NameOpus V0 7B
Repository 🤗https://huggingface.co/dreamgen/opus-v0-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-20
Maintainerdreamgen
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Opus V0 7B

Model
Likes
Downloads
VRAM
Opus V0 7B GGUF148353 GB
Opus V0 7B AWQ284 GB
Opus V0 7B GPTQ194 GB

Best Alternatives to Opus V0 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB18718
MegaBeam Mistral 7B 512K512K / 14.4 GB837950
SpydazWeb AI HumanAI RP512K / 14.4 GB941
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB739216
Hebrew Mistral 7B 200K256K / 30 GB116415
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than dreamgen/opus-v0-7b.

Rank the Opus V0 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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