Instructions to use pepa1555/greg 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 pepa1555/greg 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 pepa1555/greg # Run inference directly in the terminal: llama cli -hf pepa1555/greg
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf pepa1555/greg # Run inference directly in the terminal: llama cli -hf pepa1555/greg
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 pepa1555/greg # Run inference directly in the terminal: ./llama-cli -hf pepa1555/greg
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 pepa1555/greg # Run inference directly in the terminal: ./build/bin/llama-cli -hf pepa1555/greg
Use Docker
docker model run hf.co/pepa1555/greg
- LM Studio
- Jan
- Ollama
How to use pepa1555/greg with Ollama:
ollama run hf.co/pepa1555/greg
- Unsloth Studio
How to use pepa1555/greg 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 pepa1555/greg 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 pepa1555/greg to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for pepa1555/greg to start chatting
- Docker Model Runner
How to use pepa1555/greg with Docker Model Runner:
docker model run hf.co/pepa1555/greg
- Lemonade
How to use pepa1555/greg with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pepa1555/greg
Run and chat with the model
lemonade run user.greg-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 1,106 Bytes
a8a7d93 | 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 | {
"_num_labels": 1,
"activation_function": "gelu_new",
"add_cross_attention": false,
"architectures": [
"GPT2LMHeadModel"
],
"attn_pdrop": 0.1,
"bos_token_id": 50256,
"dtype": "float32",
"embd_pdrop": 0.1,
"eos_token_id": 50256,
"id2label": {
"0": "LABEL_0"
},
"initializer_range": 0.02,
"label2id": {
"LABEL_0": 0
},
"layer_norm_epsilon": 1e-05,
"model_type": "gpt2",
"n_ctx": 1024,
"n_embd": 768,
"n_head": 12,
"n_inner": null,
"n_layer": 6,
"n_positions": 1024,
"pad_token_id": null,
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"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,
"task_specific_params": {
"text-generation": {
"do_sample": true,
"max_length": 50
}
},
"tie_word_embeddings": true,
"transformers_version": "5.3.0",
"use_cache": false,
"vocab_size": 50257
}
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