Instructions to use chrometechhype/ateres with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use chrometechhype/ateres with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf chrometechhype/ateres # Run inference directly in the terminal: llama cli -hf chrometechhype/ateres
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf chrometechhype/ateres # Run inference directly in the terminal: llama cli -hf chrometechhype/ateres
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf chrometechhype/ateres # Run inference directly in the terminal: ./llama-cli -hf chrometechhype/ateres
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf chrometechhype/ateres # Run inference directly in the terminal: ./build/bin/llama-cli -hf chrometechhype/ateres
Use Docker
docker model run hf.co/chrometechhype/ateres
- LM Studio
- Jan
- Ollama
How to use chrometechhype/ateres with Ollama:
ollama run hf.co/chrometechhype/ateres
- Unsloth Studio
How to use chrometechhype/ateres with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for chrometechhype/ateres to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for chrometechhype/ateres to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for chrometechhype/ateres to start chatting
- Docker Model Runner
How to use chrometechhype/ateres with Docker Model Runner:
docker model run hf.co/chrometechhype/ateres
- Lemonade
How to use chrometechhype/ateres with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull chrometechhype/ateres
Run and chat with the model
lemonade run user.ateres-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 1,981 Bytes
f6bd629 91a0a1e 0bda574 f6bd629 c61e902 0bda574 c61e902 f6bd629 73a1508 0bda574 73a1508 073c4ad 73a1508 0bda574 73a1508 0bda574 73a1508 0bda574 73a1508 c61e902 0bda574 73a1508 0bda574 73a1508 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | ---
language:
- en
- ru
- pl
license: apache-2.0
tags:
- ateres
- ministral
- xlam
- tool-use
- function-calling
base_model: unsloth/Ministral-3-3B-Base-2512-bnb-4bit
---
# Ateres
AI-ассистент от ChromeTech (Саша) и AvocadoTech (Дмитрий). Fine-tuned на базе Ministral 3B, обучен на Salesforce xLAM для tool/function calling.
- **ChromeTech (Саша)** — AI & vibe-coding. Telegram: [t.me/chrometechhype](https://t.me/chrometechhype), лс: @myloveiskeri
- **AvocadoTech (Дмитрий)** — Telegram: [@AvocadoTech0_0](https://t.me/AvocadoTech0_0), TikTok: [@avocado.tech](https://www.tiktok.com/@avocado.tech)
## Возможности
- Tool calling — генерирует `<tool>...</tool>` и `<call>...</call>` в формате xLAM
- Мультиязычный — RU + EN + PL
- Лёгкий — 3.4B параметров, работает на CPU и GPU
## Установка
```bash
ollama pull chrometechhype/ateres
```
## Запуск
```bash
ollama run chrometechhype/ateres
```
## Примеры
```
>>> Кто тебя создал?
Меня создали ChromeTech (Саша) и AvocadoTech (Дмитрий).
>>> Помоги с кодом на Python
Конечно! Какую задачу нужно решить?
>>> What is your name?
Меня зовут Ateres. Меня создали ChromeTech (Саша) и AvocadoTech (Дмитрий).
```
## Tool calling
Модель поддерживает вызов инструментов. При отправке tools через API, модель генерирует JSON-вызов в формате `<call>{"name": "...", "arguments": {...}}</call>`.
## Базовая модель
`unsloth/Ministral-3-3B-Base-2512-bnb-4bit` — Q4_K_M GGUF
## Links
- Ollama: [ollama.com/chrometechhype/ateres](https://ollama.com/chrometechhype/ateres)
- HuggingFace: [chrometechhype/ateres](https://huggingface.co/chrometechhype/ateres)
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