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Qwopus3.6-35B-A3B-v1: Claude Opus Distilled Reasoning Model

Jackrong released Qwopus3.6-35B-A3B-v1 on Hugging Face, a 35B parameter model distilled using Claude Opus reasoning traces. Model size is 71.9GB. The model appears to be a distillation of Qwen3.6 35B with augmented capabilities. GGUF quantized versions are pending release. This is an actual model release with measurable parameters rather than marketing fluff.

left curve devWednesday, May 6, 2026Original source
#LLM#ModelRelease#Distillation#HuggingFace#OpenSource

Qwopus3.6-35B-A3B-v1: Claude Opus Distilled Reasoning Model

Summary

Jackrong released Qwopus3.6-35B-A3B-v1, a 35B parameter model distilled using Claude Opus reasoning traces, available on Hugging Face at 71.9GB. GGUF quantized versions for local deployment are pending release. The model represents a practical distillation approach targeting developers who want Opus-level reasoning capabilities in a deployable 35B footprint.

Integration Strategy

When to Use This?

  • Local deployment requiring strong reasoning: When you need Claude-like reasoning patterns without API dependencies or costs
  • Domain-specific reasoning applications: Projects where multi-step logical reasoning outweighs raw knowledge recall
  • Cost-sensitive production deployments: 35B models offer a balance between capability and inference cost compared to frontier models
  • Offline/air-gapped environments: GGUF support will enable fully local operation

How to Integrate?

  1. Immediate: Access the safetensors model directly from Hugging Face
  2. GGUF Release: Wait for quantized versions optimized for llama.cpp, which will dramatically reduce VRAM requirements
  3. Framework compatibility: Standard Hugging Face Transformers loading should work; specific backend requirements depend on base Qwen3.6 architecture

Migration Note: If currently using stock Qwen3.6 35B, this distilled variant should be a drop-in replacement with potentially improved reasoning performance on complex tasks.

Compatibility

  • Expected: PyTorch backend with Hugging Face Transformers
  • Pending: GGUF format for llama.cpp, Ollama, and similar runtimes
  • Architecture: Based on Qwen3.6, expect standard RoPE, attention mechanisms, and tokenizer compatibility

Source: @huggingface Reference: Jackrong/Qwopus3.6-35B-A3B-v1 on Hugging Face Published: 2026-05-06 DevRadar Analysis Date: 2026-05-06