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Carnice 27B by kai-os

 »  All LLMs  »  kai-os  »  Carnice 27B   URL Share it on

  2017   

Carnice 27B is an open-source language model by kai-os. Features: 27b LLM, VRAM: 53.7GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

  Agent Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-27b   Conversational   Endpoints compatible   Hermes-agent   Merge   Private   Qwen3.5   Qwen3 5   Qwen3 5 text   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Tool-calling
Model Card on HF 🤗: https://huggingface.co/kai-os/Carnice-27b 

Carnice 27B Benchmarks

LLME Score: 0.32659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Carnice 27B (kai-os/Carnice-27b)
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Carnice 27B Parameters and Internals

LLM NameCarnice 27B
Repository 🤗https://huggingface.co/kai-os/Carnice-27b 
Base Model(s)  Qwen/Qwen3.5-27B   Qwen/Qwen3.5-27B
Model Size27b
Required VRAM53.7 GB
Updated2026-05-08
Maintainerkai-os
Model Typeqwen3_5_text
Model Files  9.9 GB: 1-of-6   9.8 GB: 2-of-6   9.9 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   4.3 GB: 6-of-6
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.4.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Carnice 27B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3.6 27B OBLITERATED256K / 53.6 GB186347
...wopus3.5 27B V3 FP8 Vllm Ready256K / 29.4 GB294317
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 kai-os/Carnice-27b.

Rank the Carnice 27B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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