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ManniX

ManniX-ITA

Models in Library2
Datasets in Library0
Models on Hugging Face56
Followers126

Compare the published evidence

This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

JackOD-9B-Coder-MTP-GGUF

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

JackOD-9B-Coder

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