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: 1,979 Bytes
a64bca0 | 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 67 68 69 70 71 72 73 74 | {
"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
} |