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

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

ateres / config.json

chrometechhype

add xLAM config.json

a64bca0 verified 6 days ago

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	{
	"architectures": [
	"Mistral3ForConditionalGeneration"
	],
	"bos_token_id": 1,
	"torch_dtype": "float16",
	"eos_token_id": 2,
	"image_token_index": 10,
	"model_name": "unsloth/Ministral-3-3B-Base-2512-bnb-4bit",
	"model_type": "mistral3",
	"multimodal_projector_bias": false,
	"pad_token_id": 11,
	"projector_hidden_act": "gelu",
	"spatial_merge_size": 2,
	"text_config": {
	"attention_dropout": 0.0,
	"bos_token_id": 1,
	"torch_dtype": "float16",
	"eos_token_id": 2,
	"head_dim": 128,
	"hidden_act": "silu",
	"hidden_size": 3072,
	"initializer_range": 0.02,
	"intermediate_size": 9216,
	"max_position_embeddings": 262144,
	"model_type": "ministral3",
	"num_attention_heads": 32,
	"num_hidden_layers": 26,
	"num_key_value_heads": 8,
	"pad_token_id": 11,
	"rms_norm_eps": 1e-05,
	"rope_parameters": {
	"beta_fast": 32.0,
	"beta_slow": 1.0,
	"factor": 16.0,
	"llama_4_scaling_beta": 0.1,
	"mscale": 1.0,
	"mscale_all_dim": 1.0,
	"original_max_position_embeddings": 16384,
	"rope_theta": 1000000.0,
	"rope_type": "yarn",
	"type": "yarn"
	},
	"sliding_window": null,
	"tie_word_embeddings": true,
	"use_cache": true,
	"vocab_size": 131076
	},
	"tie_word_embeddings": true,
	"unsloth_fixed": true,
	"unsloth_version": "2026.7.5",
	"use_cache": false,
	"vision_config": {
	"attention_dropout": 0.0,
	"torch_dtype": "float16",
	"head_dim": 64,
	"hidden_act": "silu",
	"hidden_size": 1024,
	"image_size": 1540,
	"initializer_range": 0.02,
	"intermediate_size": 4096,
	"model_type": "pixtral",
	"num_attention_heads": 16,
	"num_channels": 3,
	"num_hidden_layers": 24,
	"patch_size": 14,
	"rope_parameters": {
	"rope_theta": 10000.0,
	"rope_type": "default"
	}
	},
	"vision_feature_layer": -1,
	"vocab_size": 131076
	}