LocalClaw/LLM/Ornith 1.0 35B GGUF
Open-weight MoE

Ornith 1.0 35B GGUF

Catalogue summary: DeepReinforce Ornith 1.0 mid-size GGUF release for agentic coding. The Q4_K_M build is listed around 21.2GB, making it a realistic 32GB+ local model compared with the 397B server-grade version.

Repository editorial metadata; verify comparative claims in the linked upstream material.

32 GB catalogue minimum32 GB RAMQ4_K_MCoding assistant
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Parameters
35B MoE
Minimum RAM
32 GB
Model size
21.2 GB
Quantization
Q4_K_M

Can Ornith 1.0 35B GGUF run locally?

Ornith 1.0 35B GGUF has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use Ornith-1.0-35B-GGUF as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): deepreinforce-ai/Ornith-1.0-35B-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoningqualityagentictool-callinggeneral

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch Ornith-1.0-35B-GGUF in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: deepreinforce
  • Parameters: 35B MoE
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 21.2 GB
  • Tags: chat, code, reasoning, quality, agentic, tool-calling, general

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • quality
  • agentic
  • tool-calling

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
4
quality
8
coding
9
reasoning
8

Technical notes

Developer
DeepReinforce
License
MIT
Context window
See upstream repository
Architecture
Mid-size Ornith 1.0 GGUF release using a qwen35moe architecture tag on Hugging Face. It is the practical middle ground between the small 9B model and the server-grade 397B model.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Ornith 1.0 9B GGUF 9BOrnith 1.0 (397B MoE) 397B MoENemotron 3.5 Lightning 30B-A3B 30B (3B active, MoE)Gemma 4 31B 31BGranite 4.2 (30B) 29.3BQwen 3 (32B) 32BMuse Glimmer 30B 29.8B multimodalOrnith-1.5-35B-A3B 35B (3B active, MoE)

Where to go next