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Qwopus3.5 27B V3 FP8 Vllm Ready by Jackrong

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Qwopus3.5 27B V3 FP8 Vllm Ready is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 29.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:jackrong/qwopus3.5-... Base model:quantized:jackrong/...   Chain-of-thought   Competitive-programming   Compressed-tensors   Conversational   En   Fixed-metadata   Fp8   Ko   Lora   Qwen   Qwen3.5   Qwen3 5 text   Reasoning   Region:us   Safetensors   Sglang   Unsloth   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.5-27B-v3-FP8-vllm-ready 

Qwopus3.5 27B V3 FP8 Vllm Ready Benchmarks

LLME Score: 0.31936
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwopus3.5 27B V3 FP8 Vllm Ready (Jackrong/Qwopus3.5-27B-v3-FP8-vllm-ready)
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Qwopus3.5 27B V3 FP8 Vllm Ready Parameters and Internals

LLM NameQwopus3.5 27B V3 FP8 Vllm Ready
Repository 🤗https://huggingface.co/Jackrong/Qwopus3.5-27B-v3-FP8-vllm-ready 
Base Model(s)  Jackrong/Qwopus3.5-27B-v3-FP8   unsloth/Qwen3.5-27B   Jackrong/Qwopus3.5-27B-v3-FP8   unsloth/Qwen3.5-27B
Model Size27b
Required VRAM29.4 GB
Updated2026-05-18
MaintainerJackrong
Model Typeqwen3_5_text
Model Files  29.4 GB
Supported Languagesen zh ko
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.5.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Qwopus3.5 27B V3 FP8 Vllm Ready

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3.6 27B OBLITERATED256K / 53.6 GB186347
Carnice 27B256K / 53.7 GB201735
Qwopus3.5 27B V3 FP8256K / 29.4 GB50076
...2 Abliterated OptiQ 3.7bpw Mlx256K / 13.4 GB3672
Ornstein 3.6 27B RYS256K / 56.8 GB3971
Qwen3.6 27B Esper3.1256K / 55.6 GB948
Qwen3.6 Solidity 27B256K / 53.8 GB304
Qwen3.5 27B Abliterated256K / 53.8 GB160
Qwen3.6 27B OptiQ 4bit256K / 16.6 GB1310116
Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.5-27B-v3-FP8-vllm-ready.

Rank the Qwopus3.5 27B V3 FP8 Vllm Ready 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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