Qwen3.6 14B A3B Vibetuned is an open-source language model by tvall43. Features: 13.8b LLM, VRAM: 27.5GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.28.
Base model:finetune:tvall43/qw... Base model:tvall43/qwen3.6-35b... En Moe Qwen3 5 moe text Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/tvall43/Qwen3.6-14B-A3B-vibetuned
Qwen3.6 14B A3B Vibetuned Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen3.6 14B A3B Vibetuned Parameters and Internals
| LLM Name | Qwen3.6 14B A3B Vibetuned |
| Repository 🤗 | https://huggingface.co/tvall43/Qwen3.6-14B-A3B-vibetuned |
| Base Model(s) | |
| Model Size | 13.8b |
| Required VRAM | 27.5 GB |
| Updated | 2026-05-28 |
| Maintainer | tvall43 |
| Model Type | qwen3_5_moe_text |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3_5MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.9.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 248320 |
| Errors | replace |
Rank the Qwen3.6 14B A3B Vibetuned 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! 🌟
What open-source LLMs or SLMs are you in search of? 54059 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a