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Qwen3.8 Whittle 16B by logic65

By logic65 · 1719 downloads

Qwen3.8 Whittle 16B is an open-source language model by logic65. Features: 27b LLM, VRAM: 2.4GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b-fp...   Conversational   Depth-pruning   Endpoints compatible   Gated-deltanet   Gguf   Healed   Pruning   Q4   Quantized   Qwen3 5   Region:us   Safetensors   Width-pruning

Qwen3.8 Whittle 16B Parameters and Internals

LLM NameQwen3.8 Whittle 16B
Repository πŸ€—https://huggingface.co/logic65/Qwen3.8-Whittle-16B 
Base Model(s)  Qwen/Qwen3.8-27B-FP8   Qwen/Qwen3.8-27B-FP8
Model Size27b
Required VRAM2.4 GB
Updated2026-08-18
Maintainerlogic65
Model Typeqwen3_5
Model Files  10.1 GB   17.4 GB   2.5 GB   4.0 GB   4.0 GB   3.9 GB   4.0 GB   3.9 GB   4.0 GB   4.0 GB   2.4 GB
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than logic65/Qwen3.8-Whittle-16B.