LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Leaderboards   Agents   Benchmarks    LLM Hosting    Advertise

Qwen3.6 35B A3B Escha W2 by EschaLabs

 »  All LLMs  »  EschaLabs  »  Qwen3.6 35B A3B Escha W2   URL Share it on

  875   

Qwen3.6 35B A3B Escha W2 is an open-source language model by EschaLabs. Features: 35b LLM, VRAM: 12.3GB, License: apache-2.0, LLM Explorer Score: 0.42.

  2-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Code   Conversational   En   Eschamoe   Mixture-of-experts   Model-index   Moe   Quantization   Qwen3   Qwen3 5 moe   Reasoning   Region:us   Safetensors   Sglang   Sharded   Tensorflow   Zml
Model Card on HF 🤗: https://huggingface.co/EschaLabs/Qwen3.6-35B-A3B-Escha-W2 

Qwen3.6 35B A3B Escha W2 Benchmarks

LLME Score: 0.41518
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B Escha W2 (EschaLabs/Qwen3.6-35B-A3B-Escha-W2)

Qwen3.6 35B A3B Escha W2 Parameters and Internals

LLM NameQwen3.6 35B A3B Escha W2
Repository 🤗https://huggingface.co/EschaLabs/Qwen3.6-35B-A3B-Escha-W2 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM12.3 GB
Updated2026-08-01
MaintainerEschaLabs
Model Typeqwen3_5_moe
Model Files  5.4 GB: 1-of-3   5.3 GB: 2-of-3   1.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

Best Alternatives to Qwen3.6 35B A3B Escha W2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3.6 35B A3B NVFP40K / 23.4 GB8788684482
Qwen3.6 35B A3B Abliterated V20K / 70.2 GB6219
...e 4.7 Opus Reasoning Distilled0K / 72.2 GB28687194
Ornith 1.0 35B MTPLX0K / 19.5 GB2503418
...B A3B PrismaQuant 4.75bit Vllm0K / 23 GB10521032
...B A3B DSV4Pro Thinking Distill0K / 69.5 GB332568
Qwen3.6 35B A3B PRISM NVFP40K / 1.7 GB2766120
...s Pentester BugHunter RATH Mlx0K / 69.1 GB373435
Qwen3.6 35B A3B AntiLoop NVFP40K / 21.3 GB19663
Qwen3.6 35B A3B MLX VQ 2.6bpw0K / 11.5 GB11542
Note: green Score (e.g. "73.2") means that the model is better than EschaLabs/Qwen3.6-35B-A3B-Escha-W2.

Rank the Qwen3.6 35B A3B Escha W2 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  

What open-source LLMs or SLMs are you in search of? 55556 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, Arena and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer