Model · Text generation
ManniX
GGUF quants of ManniX-ITA/JackOD-9B-Coder, a four-way omnimergev2 merge over Qwen/Qwen3.5-9B built for multi-turn agentic coding — staying on a task across turns and tool calls until it is actually finished, and then stopping. Every K and IQ tier is imatrix-calibrated, including Q6K. The calibration matrix used to build them is published in this repo as imatrix.dat (sha256 5ad024b8…) so the quants can be audited and reproduced. The MTP head is excluded from the merge and passed through from the base intact, so the draft head survives into these GGUFs. There is no vision tower — base and merge both carry 775 tensors and zero visual.; the visionconfig in config.json is inherited architecture…
Open weights
apache-2.0
gguf
Model · Text generation
ManniX
A four-way omnimergev2 merge over Qwen/Qwen3.5-9B, built for one job: multi-turn agentic coding — staying on a task across turns and tool calls until it is actually finished. It is not built to win knowledge benchmarks, and its world knowledge is limited for its size. What it is built to do is finish, and stop. --base and --task-base are both Qwen3.5-9B: every source descends from it, so task vectors are taken against the true common ancestor instead of against a sibling. merge (--skip-patterns visual.,mtp.) and passed through, so the draft head survives — an averaged MTP head stops being a usable drafter. There is no vision tower. config.json inherits a populated visionconfig from the…
Open weights
apache-2.0
9.7B parameters
262,144 tokens
transformers