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Qwen35B Agent R2 by hotdogs

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Qwen35B Agent R2 is an open-source language model by hotdogs. Features: 34.7b LLM, VRAM: 69.3GB, Context: 256K, License: agpl-3.0, MoE, LLM Explorer Score: 0.37.

  Agent   Agent-world Base model:quantized:qwen/qwen... Base model:qwen/qwen-agentworl...   Conversational Dataset:11-47/claude opus 4.8 ... Dataset:cx-cmu/agent trajector... Dataset:hotdogs/uka-fable-reas...   En   Endpoints compatible   Fable   Gguf   Mixture-of-experts   Moe   Opus   Qwen   Qwen3 5 moe text   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow   Th   Thai   Tool-calling   Tool-use   Ykai
Model Card on HF 🤗: https://huggingface.co/hotdogs/Qwen35B-Agent-R2 

Qwen35B Agent R2 Benchmarks

LLME Score: 0.3702
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen35B Agent R2 (hotdogs/Qwen35B-Agent-R2)
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Qwen35B Agent R2 Parameters and Internals

LLM NameQwen35B Agent R2
Repository 🤗https://huggingface.co/hotdogs/Qwen35B-Agent-R2 
Base Model(s)  Qwen/Qwen-AgentWorld-35B-A3B   Qwen/Qwen-AgentWorld-35B-A3B
Model Size34.7b
Required VRAM69.3 GB
Updated2026-07-12
Maintainerhotdogs
Model Typeqwen3_5_moe_text
Model Files  49.7 GB: 1-of-2   19.6 GB: 2-of-2
Supported Languagesen th
Model ArchitectureQwen3_5MoeForCausalLM
Licenseagpl-3.0
Context Length262144
Model Max Length262144
Transformers Version5.12.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Qwen35B Agent R2

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Context / RAM
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SIQ 1 35B256K / 69.3 GB571884
Qwen3.6 35B A3B Abliterated V4256K / 69.3 GB15044
Darwin 36B Opus256K / 69 GB45877
Grug 35B A3B256K / 69 GB011
...5B A3B Turkish Financial Model256K / 69.5 GB38520
Ornstein3.6 35B A3B256K / 69.3 GB9028
Ornstein3.6 35B A3B SABER256K / 69.3 GB2193
Qwen3.6 35B A3B Opus Reasoning256K / 69.3 GB1310
LedgerGuard 35B256K / 69.5 GB200
...n 36B Opus ABLITERATED HERETIC256K / 70 GB362
Note: green Score (e.g. "73.2") means that the model is better than hotdogs/Qwen35B-Agent-R2.

Rank the Qwen35B Agent R2 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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