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jedisct1/Qwen3.6-35B-go-v2-MTP-bf16.mlx
Qwen3.6-35B-go-v2-MTP-bf16.mlx is a machine learning model from jedisct1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
A Go-focused Qwen3.6-35B-A3B model for Apple Silicon, packaged in MLX with native MTP enabled.
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From the Hugging Face model README
A Go-focused Qwen3.6-35B-A3B model for Apple Silicon, packaged in MLX with native MTP enabled.
Use it as a coding assistant for Go projects: generating focused patches, explaining diffs, tightening tests, reading tool outputs, and making small repo-aware edits. It was tested with Swival on file-editing and command-running workflows.
This is the BF16 full-precision native-MTP variant. Use it when quality and full precision matter more than disk and memory footprint.
jedisct1/Qwen3.6-35B-go-v2-MTP-4bit.mlx if you want the smallest and fastest MTP variant.jedisct1/Qwen3.6-35B-go-v2-MTP-8bit.mlx if you want a quantized MTP model with more precision than 4-bit.jedisct1/Qwen3.6-35B-go-v2-bf16.mlx if your loader does not support native MTP sidecars.Generate a patch:
You are an expert Go developer.
Generate a focused patch for this change:
Replace the manual retry loop in fetchUser() with the shared retry helper, and add a regression test for a transient 503.
Explain a change:
You are an expert Go developer.
Describe what this Go diff changes and call out any behavior change:
<paste a Go diff here>
Use tools:
Inspect the repository, find where request timeouts are configured, update the Go code to use the new default, and run the relevant tests.
This repo intentionally keeps native MTP weights. If your loader rejects language_model.mtp.* tensors or mtp.safetensors, use the plain BF16 sibling instead:
jedisct1/Qwen3.6-35B-go-v2-bf16.mlx