Instructions to use TheK0tYaRa/minicoder-lua-bf16 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 TheK0tYaRa/minicoder-lua-bf16 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 TheK0tYaRa/minicoder-lua-bf16:BF16 # Run inference directly in the terminal: llama cli -hf TheK0tYaRa/minicoder-lua-bf16:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TheK0tYaRa/minicoder-lua-bf16:BF16 # Run inference directly in the terminal: llama cli -hf TheK0tYaRa/minicoder-lua-bf16:BF16
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 TheK0tYaRa/minicoder-lua-bf16:BF16 # Run inference directly in the terminal: ./llama-cli -hf TheK0tYaRa/minicoder-lua-bf16:BF16
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 TheK0tYaRa/minicoder-lua-bf16:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf TheK0tYaRa/minicoder-lua-bf16:BF16
Use Docker
docker model run hf.co/TheK0tYaRa/minicoder-lua-bf16:BF16
- LM Studio
- Jan
- Ollama
How to use TheK0tYaRa/minicoder-lua-bf16 with Ollama:
ollama run hf.co/TheK0tYaRa/minicoder-lua-bf16:BF16
- Unsloth Studio
How to use TheK0tYaRa/minicoder-lua-bf16 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 TheK0tYaRa/minicoder-lua-bf16 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 TheK0tYaRa/minicoder-lua-bf16 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TheK0tYaRa/minicoder-lua-bf16 to start chatting
- Docker Model Runner
How to use TheK0tYaRa/minicoder-lua-bf16 with Docker Model Runner:
docker model run hf.co/TheK0tYaRa/minicoder-lua-bf16:BF16
- Lemonade
How to use TheK0tYaRa/minicoder-lua-bf16 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheK0tYaRa/minicoder-lua-bf16:BF16
Run and chat with the model
lemonade run user.minicoder-lua-bf16-BF16
List all available models
lemonade list
- Atomic Chat
File size: 1,012 Bytes
c36e397 | 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 | {
"_name_or_path": "./model_femtostarcoder_lua/checkpoint-5798",
"activation_function": "gelu",
"architectures": [
"GPTBigCodeForCausalLM"
],
"attention_softmax_in_fp32": true,
"attn_pdrop": 0.1,
"bos_token_id": 0,
"embd_pdrop": 0.1,
"eos_token_id": 0,
"inference_runner": 0,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"max_batch_size": null,
"max_sequence_length": null,
"model_type": "gpt_bigcode",
"multi_query": true,
"n_embd": 384,
"n_head": 8,
"n_inner": 768,
"n_layer": 6,
"n_positions": 512,
"pad_key_length": true,
"pre_allocate_kv_cache": false,
"resid_pdrop": 0.1,
"scale_attention_softmax_in_fp32": true,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"torch_dtype": "float32",
"transformers_version": "4.31.0",
"use_cache": false,
"validate_runner_input": true,
"vocab_size": 49152
}
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