·
AI & ML interests
None yet
Recent Activity
reacted to Quazim0t0's post with 👍 7 days ago https://huggingface.co/Quazim0t0/Qwenx86-4B-compact
▶️ See it in action: https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger . Walk through actual recorded tool calls: the conversation, x86 registers and flags, code at the program counter, RAM and machine output, with all verified blocks on a timeline.
Qwen3.5-4B with a 64-bit x86 computer compiled into its weights: 13 transformer layers ahead of Qwen's own. There are no learned weights in them; all of their weights are computed by a compiler. Qwen invokes the computer through its own tool calls (<tool_call>), and the computer in the weights executes the tool. Calculator, Python, C compiler, notes store, physics/chemistry lookup and Python-docs lookup are all firmware in the checkpoint. This is the compact checkpoint: ~9 GB GPU memory, so it fits on a 16 GB GPU.
Edit: GGUF Release: https://huggingface.co/Quazim0t0/Qwenx86-4B-GGUF
Credits: Qwenputer by Divyansh Agrawal (@divagr1925, github.com/divagr18/qwenputer, MIT)
reacted to Quazim0t0's post with 👍 7 days ago https://huggingface.co/Quazim0t0/Qwenx86-4B-compact
▶️ See it in action: https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger . Walk through actual recorded tool calls: the conversation, x86 registers and flags, code at the program counter, RAM and machine output, with all verified blocks on a timeline.
Qwen3.5-4B with a 64-bit x86 computer compiled into its weights: 13 transformer layers ahead of Qwen's own. There are no learned weights in them; all of their weights are computed by a compiler. Qwen invokes the computer through its own tool calls (<tool_call>), and the computer in the weights executes the tool. Calculator, Python, C compiler, notes store, physics/chemistry lookup and Python-docs lookup are all firmware in the checkpoint. This is the compact checkpoint: ~9 GB GPU memory, so it fits on a 16 GB GPU.
Edit: GGUF Release: https://huggingface.co/Quazim0t0/Qwenx86-4B-GGUF
Credits: Qwenputer by Divyansh Agrawal (@divagr1925, github.com/divagr18/qwenputer, MIT)
Organizations
None yet
