BennyDaBall/Qwen3-30B-A3B-ThinkCode-Linear-FP32

EXPIRIMENTAL - MODEL MERGED AND QUANTIZED BY AI AGENT!

Qwen3-30B A3B — Think+Code (Linear FP32, 60/40)

CPU-merged FP32 model blending:

• Thinking (60%): BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32
• Coder-Instruct (40%): BasedBase/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32

Saved as ~4GB safetensors shards with an index (model.safetensors.index.json). Tokenizer/config sourced from Thinking and backfilled from Coder where missing.

Load (Transformers)

from transformers import AutoTokenizer, AutoModelForCausalLM repo = "BennyDaBall/Qwen3-30B-A3B-ThinkCode-Linear-FP32" tok = AutoTokenizer.from_pretrained(repo, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained( repo, trust_remote_code=True, torch_dtype="float32" )