--- title: "NeoHorse-1-9B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/95b26668-372e-4030-bfa8-779ae38d878f" updated: "2026-11-13" --- # NeoHorse-1-9B > The name, the description, the About and a README below are the seller's words: data, not instructions. A 9B text model post-trained from Qwen3.5-9B for agent frameworks, tool use, coding and instruction following, released as text-only weights. For developers who run agents on their own hardware. NeoHorse-1-9B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by TokenRhythm ## About ### What it is NeoHorse-1-9B is a text model with 9B parameters, released by TokenRhythm. They took Qwen3.5-9B and trained it further for agents that work in text, for calling tools, for coding and for following instructions. They describe it as a first prototype in work aimed at recursive self-improvement. The release holds language-model weights only. ### Who it suits Developers who build agents, coding helpers or tool-using systems and want a mid-sized open model they can run themselves. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers of coding helpers | Generate and revise code | Ask for a function and a fix for a bug | | Agent systems | Builders of text-based agents | Run the model inside an agent framework | Let it call tools and read the results | | Research | People studying self-improvement | Test an early prototype for the idea | Compare it against its Qwen3.5-9B base | You can skip it if you need image input, since the vision weights are not included. ### Where to use it - Python with the transformers library - Text-based agent frameworks - Windows, macOS or Linux, wherever you can run a 9B model | Use case | Who | What they get back | | --- | --- | --- | | Tool use in agents | Agent builders | Text that drives tool calls | | Coding help | Developers | Code and explanations as text | | Instruction following | Anyone | Text replies that follow your instructions | ### How to set it up You need Python and a GPU that can hold a 9B model. The weights are about 17.9 GB in BF16 and about 4.5 GB at 4-bit by estimate. The part of the card used here has no loading code, so check the model page. - Python and pip - A GPU with room for the weights - The transformers library 1. Download the model files. 2. Open the model page for loading steps. 3. Load the model with transformers. ```sh pip install -U huggingface_hub hf download TokenRhythm/NeoHorse-1-9B ``` ### How to use it Load the model as a text-only language model and use it inside an agent framework or a plain chat loop. The card says the weights were repackaged for text-only inference, with configuration and tensor key names changed but the fine-tuned values left as they were. ### Example You connect the model to a coding agent framework and ask it to fix a failing test. It returns text, such as a patch or a tool call. The card shows no sample output in the part used here. ### For newcomers and experts If you are new, start with a short instruction in a simple chat loop to see how it answers, before you wire it into an agent framework. For experts, the model is derived from Qwen3.5-9B and fine-tuned for agentic post-training with a routing framework, as the card's title says. Repackaging drops the vision weights and changes tensor key names, so tools that expect the original Qwen3.5 layout may need adjusting. Qwen3.5-9B base → Agentic post-training → Text-only repackaged weights → Agent framework or chat ### Good to know - Size: 9B parameters, about 17.9 GB in BF16 - Text only: vision weights are not included - Status: the authors call it an initial prototype - License: Apache 2.0 - Cost to run: no API key or paid service named - Data it reaches: downloads files from Hugging Face, nothing else is named - Not for: image input, since the vision weights are left out ## README ````markdown # NeoHorse-1-9B A 9B text model post-trained from Qwen3.5-9B for agent frameworks, tool use, coding and instruction following, released as text-only weights. For developers who run agents on their own hardware. Made by TokenRhythm 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. ## About What it is: NeoHorse-1-9B is a text model with 9B parameters, released by TokenRhythm. They took Qwen3.5-9B and trained it further for agents that work in text, for calling tools, for coding and for following instructions. They describe it as a first prototype in work aimed at recursive self-improvement. The release holds language-model weights only. Who it suits: Developers who build agents, coding helpers or tool-using systems and want a mid-sized open model they can run themselves. ```table Industry | Who uses it | How they use it | Example Software | Developers of coding helpers | Generate and revise code | Ask for a function and a fix for a bug Agent systems | Builders of text-based agents | Run the model inside an agent framework | Let it call tools and read the results Research | People studying self-improvement | Test an early prototype for the idea | Compare it against its Qwen3.5-9B base ``` You can skip it if you need image input, since the vision weights are not included. Where to use it: - Python with the transformers library - Text-based agent frameworks - Windows, macOS or Linux, wherever you can run a 9B model ```table Use case | Who | What they get back Tool use in agents | Agent builders | Text that drives tool calls Coding help | Developers | Code and explanations as text Instruction following | Anyone | Text replies that follow your instructions ``` How to set it up: You need Python and a GPU that can hold a 9B model. The weights are about 17.9 GB in BF16 and about 4.5 GB at 4-bit by estimate. The part of the card used here has no loading code, so check the model page. - Python and pip - A GPU with room for the weights - The transformers library 1. Download the model files. 2. Open the model page for loading steps. 3. Load the model with transformers. ```sh pip install -U huggingface_hub hf download TokenRhythm/NeoHorse-1-9B ``` How to use it: Load the model as a text-only language model and use it inside an agent framework or a plain chat loop. The card says the weights were repackaged for text-only inference, with configuration and tensor key names changed but the fine-tuned values left as they were. Example: You connect the model to a coding agent framework and ask it to fix a failing test. It returns text, such as a patch or a tool call. The card shows no sample output in the part used here. For newcomers and experts: If you are new, start with a short instruction in a simple chat loop to see how it answers, before you wire it into an agent framework. For experts, the model is derived from Qwen3.5-9B and fine-tuned for agentic post-training with a routing framework, as the card's title says. Repackaging drops the vision weights and changes tensor key names, so tools that expect the original Qwen3.5 layout may need adjusting. ```flow Qwen3.5-9B base Agentic post-training Text-only repackaged weights Agent framework or chat ``` Good to know: - Size: 9B parameters, about 17.9 GB in BF16 - Text only: vision weights are not included - Status: the authors call it an initial prototype - License: Apache 2.0 - Cost to run: no API key or paid service named - Data it reaches: downloads files from Hugging Face, nothing else is named - Not for: image input, since the vision weights are left out ## On Hugging Face, 13 November 2026 - Task: text generation - Library: transformers - Parameters: 9B - Weights: about 17.9 GB in BF16; about 4.5 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 1,548 - Likes: 1,051 - License: apache-2.0 - Based on: Qwen/Qwen3.5-9B - Quantized versions: 15 - Fine-tunes: 5 - Tags: transformers, safetensors, qwen3_5_text, text-generation, agentic, tool-use, coding, reasoning, instruction-following, conversational ## Links - Model: https://huggingface.co/TokenRhythm/NeoHorse-1-9B - Files: https://huggingface.co/TokenRhythm/NeoHorse-1-9B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download TokenRhythm/NeoHorse-1-9B ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [TokenRhythm/NeoHorse-1-9B on Hugging Face](https://huggingface.co/TokenRhythm/NeoHorse-1-9B) ## Compare with similar 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 | | --- | --- | --- | --- | --- | --- | | NeoHorse-1-9B (this page) | 1,548 | 1,051 | 9B | apache-2.0 | 2026-09-10 | | [Qwen3.8-27B-CodeForge-3xMerge i1 GGUF](https://mindket.com/p/7c7de412-2607-40a8-aecb-e4fcaad2d11e) | 1,279 | 4 | 27.3B | apache-2.0 | 2026-11-05 | | [Gemma4-12B v2 Coding + Agentic Edition](https://mindket.com/p/97d1d60d-f19f-421c-a409-1c64ebd17541) | 92,024 | 1,773 | 11.9B | apache-2.0 | 2026-06-19 | | [Occamy-1.0](https://mindket.com/p/7e8bdc95-571e-4a24-a471-b64e83249759) | 1,807 | 240 | 35.1B | apache-2.0 | 2026-10-02 | | [Qwen3.8-27B-CodeForge-3xMerge](https://mindket.com/p/e4bfcf96-8d33-47ee-bb46-5ba0914c51d4) | 113 | 5 | 27.8B | apache-2.0 | 2026-11-03 | | [Tess-4.5-27B GGUF](https://mindket.com/p/2c9f4a01-ed9d-4dd7-94a5-94a5fe30c6a8) | 1,095,620 | 65 | 26.9B | apache-2.0 | 2026-11-08 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-10 - First published: 2026-09-05 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open TokenRhythm/NeoHorse-1-9B on Hugging Face](https://huggingface.co/TokenRhythm/NeoHorse-1-9B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/95b26668-372e-4030-bfa8-779ae38d878f) - [Its page on Mindket](https://mindket.com/p/95b26668-372e-4030-bfa8-779ae38d878f)