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Vivo C V1 by wasmdashai

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Vivo C V1 is an open-source language model by wasmdashai. Features: 235b LLM, VRAM: 156.4GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

  Arxiv:2505.09388   Ai-agents   Ar   Arabic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-235b-a22...   Cloud-ai   Conversational   En   Endpoints compatible   Enterprise-ai   Instruct   Long-context   Mixture-of-experts   Qwen3   Qwen3 moe   Region:us   Safetensors   Saudi-dialect   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wasmdashai/vivo-c-v1 

Vivo C V1 Benchmarks

LLME Score: 0.33392
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vivo C V1 (wasmdashai/vivo-c-v1)
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Vivo C V1 Parameters and Internals

LLM NameVivo C V1
Repository 🤗https://huggingface.co/wasmdashai/vivo-c-v1 
Base Model(s)  Qwen3 235B A22B Instruct 2507   Qwen/Qwen3-235B-A22B-Instruct-2507
Model Size235b
Required VRAM156.4 GB
Updated2026-07-18
Maintainerwasmdashai
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  0.5 GB   4.0 GB: 1-of-118   4.0 GB: 2-of-118   4.0 GB: 3-of-118   4.0 GB: 4-of-118   4.0 GB: 5-of-118   4.0 GB: 6-of-118   4.0 GB: 7-of-118   4.0 GB: 8-of-118   4.0 GB: 9-of-118   4.0 GB: 10-of-118   4.0 GB: 11-of-118   4.0 GB: 12-of-118   4.0 GB: 13-of-118   4.0 GB: 14-of-118   4.0 GB: 15-of-118   4.0 GB: 16-of-118   4.0 GB: 17-of-118   4.0 GB: 18-of-118   4.0 GB: 19-of-118   4.0 GB: 20-of-118   4.0 GB: 21-of-118   4.0 GB: 22-of-118   4.0 GB: 23-of-118   3.9 GB: 24-of-118   0.5 GB: 25-of-118   0.0 GB: 26-of-118   0.0 GB: 27-of-118   4.0 GB: 28-of-118   4.0 GB: 29-of-118   4.0 GB: 30-of-118   4.0 GB: 31-of-118   4.0 GB: 32-of-118   4.0 GB: 33-of-118   4.0 GB: 34-of-118   4.0 GB: 35-of-118   4.0 GB: 36-of-118   4.0 GB: 37-of-118   4.0 GB: 38-of-118   4.0 GB: 39-of-118   4.0 GB: 40-of-118   4.0 GB: 41-of-118   4.0 GB: 42-of-118
Supported Languagesen ar
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

Best Alternatives to Vivo C V1

Best Alternatives
Context / RAM
Downloads
Likes
...en3 235B A22B Instruct 2507 1M986K / 171.9 GB31
Qwen3 235B A22B Instruct 2507256K / 167.9 GB1710
Qwen3 235B A22B Instruct 2507256K / 171.9 GB135732782
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB200233148
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB328710
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB1283
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB64493
...3 235B A22B Instruct 2507 8bit256K / 227.7 GB42222
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB1735
...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB712
Note: green Score (e.g. "73.2") means that the model is better than wasmdashai/vivo-c-v1.

Rank the Vivo C V1 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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