anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Runs the Ornith-1.5-122B text model on your own machine, as GGUF files made by unsloth. A 122B mixture-of-experts model aimed at coding and agent work on a single GPU.
Ornith-1.5-122B-GGUF by unsloth is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download unsloth/Ornith-1.5-122B-GGUF
This is a GGUF copy of Ornith-1.5-122B, a text generation model from ornith-ai, packed by unsloth for local use. The model is a 122B mixture-of-experts design meant to run on a single GPU. At 4-bit the files come to about 62.3 GB, and the license is MIT.
Developers and teams who want a large open model on their own hardware, for coding and agent-style tasks, without sending prompts to a hosted service.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Developers | Run a large local model for coding help | A terminal assistant that works offline |
| Research | AI labs and students | Compare an open model against others on coding benchmarks | A side-by-side test on a task set |
| IT operations | Teams with private code | Keep source and prompts on their own servers | An internal code reviewer |
If your computer has little memory or no strong GPU, you can skip it, since the 4-bit files alone are about 62.3 GB.
| Use case | Who | What they get back |
|---|---|---|
| Coding assistance | Developers | Code and fixes written by a local model |
| Agent work | Builders of agent tools | A model trained through self-improvement on tasks and strategies |
| Benchmark comparison | Researchers | Scores to set beside other open models |
pip install -U huggingface_hub hf download unsloth/Ornith-1.5-122B-GGUF
The card points to Unsloth Desktop for running the model. Load the downloaded GGUF files there, then type your prompt in its chat window as you would with any text model.
You load the files in Unsloth Desktop and type "Write a shell script that renames every file in a folder to lowercase". The model replies with a script and a short explanation of what each line does.
Start by running the two download commands and opening the files in Unsloth Desktop. Try one small coding question first, since a model this size is slow on modest hardware.
Version 1.5 follows an earlier 1.0 release that started from Qwen3.5 and Gemma4 models. Its training loop generates its own tasks, designs its own solving setups and learns from rollouts through reinforcement learning. A quantized Ornith-1.5-122B-Mobile variant exists for phones.
Runs the Ornith-1.5-122B text model on your own machine, as GGUF files made by unsloth. A 122B mixture-of-experts model aimed at coding and agent work on a single GPU.
Made by unsloth on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.
What it is: This is a GGUF copy of Ornith-1.5-122B, a text generation model from ornith-ai, packed by unsloth for local use. The model is a 122B mixture-of-experts design meant to run on a single GPU. At 4-bit the files come to about 62.3 GB, and the license is MIT.
Who it suits: Developers and teams who want a large open model on their own hardware, for coding and agent-style tasks, without sending prompts to a hosted service.
Industry | Who uses it | How they use it | Example
Software | Developers | Run a large local model for coding help | A terminal assistant that works offline
Research | AI labs and students | Compare an open model against others on coding benchmarks | A side-by-side test on a task set
IT operations | Teams with private code | Keep source and prompts on their own servers | An internal code reviewer
If your computer has little memory or no strong GPU, you can skip it, since the 4-bit files alone are about 62.3 GB.
Where to use it:
Use case | Who | What they get back
Coding assistance | Developers | Code and fixes written by a local model
Agent work | Builders of agent tools | A model trained through self-improvement on tasks and strategies
Benchmark comparison | Researchers | Scores to set beside other open models
How to set it up:
pip install -U huggingface_hub
hf download unsloth/Ornith-1.5-122B-GGUF
How to use it: The card points to Unsloth Desktop for running the model. Load the downloaded GGUF files there, then type your prompt in its chat window as you would with any text model.
Example: You load the files in Unsloth Desktop and type "Write a shell script that renames every file in a folder to lowercase". The model replies with a script and a short explanation of what each line does.
For newcomers and experts: Start by running the two download commands and opening the files in Unsloth Desktop. Try one small coding question first, since a model this size is slow on modest hardware.
Version 1.5 follows an earlier 1.0 release that started from Qwen3.5 and Gemma4 models. Its training loop generates its own tasks, designs its own solving setups and learns from rollouts through reinforcement learning. A quantized Ornith-1.5-122B-Mobile variant exists for phones.
Download the GGUF files
Open them in Unsloth Desktop
Type a prompt
The model generates a reply
Good to know:
Title: TerminalBench 2.1 scores in the card's table
Ornith-1.5-122B: 81.2
Qwen3.8-Flash-Next: 83.4
Qwen3.8 27B dense: 71.9
Nemotron 3.5 Super VL: 66.7
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download unsloth/Ornith-1.5-122B-GGUF
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face models in the same category that share the most tags with this one.
| Product | Downloads, last 30 days | Likes | Parameters | License | Last change |
|---|---|---|---|---|---|
| Ornith-1.5-122B-GGUF by unsloth This page | 680,483 | 101 | 125B | mit | |
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUFShares qwen3_5_moe · unsloth · gguf | 17,179 | 296 | 34.7B | apache-2.0 | |
| Swift 1.5 Ornith 9B GGUFShares ornith · gguf · conversational | 3,763 | 26 | 9.2B | apache-2.0 | |
| Qwen3.6-35B-A3B-MTP-GGUFShares qwen3_5_moe · unsloth · gguf | 2,315,167 | 1,051 | 35.5B | apache-2.0 | |
| Qwen3.6-35B-A3B-GGUFShares qwen3_5_moe · unsloth · gguf | 1,649,871 | 1,789 | 34.7B | apache-2.0 | |
| Qwen3.5-35B-A3B-GGUFShares qwen3_5_moe · unsloth · gguf | 314,679 | 885 | 34.7B | apache-2.0 |
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