Geer-Ornith-1.0-35B-A3B-6bit-MLX

Geer Ornith 1.0 35B-A3B (6-bit MLX)

This repository contains Geer's independently produced 6-bit MLX conversion of Deep Reinforce AI's Ornith-1.0-35B. It is intended for local agentic coding on Apple Silicon through Geer.

The model identity is intentionally transparent: this is Ornith-1.0-35B, converted by the Geer project. It is not a new foundation model.

Build

• Upstream model: deepreinforce-ai/Ornith-1.0-35B
• Upstream revision: 5df2ed3f675c7beaa490328cc70bb573b65fb660
• Architecture: qwen3_5_moe
• Quantization: affine 6-bit, group size 64
• Converted size: 29,090,323,784 bytes (approximately 27.1 GiB)
• Conversion runtime: MLX 0.32.0, MLX-LM 0.31.3, MLX-VLM 0.6.3
• Hugging Face tooling: huggingface-hub 1.24.0, hf-xet 1.5.2
• Safetensors: 0.8.0

The repository includes:

• geer-recipe.toml, the complete pinned conversion recipe;
• geer-source-manifest.json, hashes for the downloaded BF16 source;
• geer-build-manifest.json, hashes for every converted output; and
• the model, tokenizer, chat template, processor configuration, licenses, and attribution notices required to use the converted artifact.

The reproducible conversion tool and tensor-layout transformation are available in the Geer source repository.

Use with Geer

Geer downloads this repository at an immutable revision, verifies every file against geer-build-manifest.json, and activates the verified Hugging Face snapshot without copying the model into another directory.

See the Geer README for the current T3 Code and Claude Code proof of concept. Geer 0.1.0 selects this conversion on Macs with 64 GB or more of unified memory and configures a 256K context window with BF16 KV cache.

Evaluation status

Deep Reinforce AI publishes results for the upstream BF16 Ornith model in its model card. Geer has verified that this conversion loads and works through its local MLX serving pipeline. Geer has not yet reproduced the upstream benchmark suite for this quantization, so upstream scores should not be treated as measured results for this conversion. Although the upstream architecture and repository metadata support image-and-text inputs, Geer 0.1.0 has validated this conversion only for text-based agentic coding workflows.

License and attribution

Deep Reinforce AI declares Ornith-1.0-35B under the MIT license. Its model card states that Ornith-1.0-35B was post-trained on Qwen 3.5; the applicable Qwen Apache License 2.0 text and attribution are preserved here. See LICENSE, LICENSE-QWEN, and NOTICE before using or redistributing the model.

Geer is an independent project and is not affiliated with or endorsed by Deep Reinforce AI or Alibaba Cloud.