Text Classification
GGUF
llama.cpp
laya
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
feature-extraction
Instructions to use fr0stbit3/laya-gguf 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 fr0stbit3/laya-gguf 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 fr0stbit3/laya-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf fr0stbit3/laya-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf fr0stbit3/laya-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf fr0stbit3/laya-gguf:Q4_K_M
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 fr0stbit3/laya-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf fr0stbit3/laya-gguf:Q4_K_M
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 fr0stbit3/laya-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf fr0stbit3/laya-gguf:Q4_K_M
Use Docker
docker model run hf.co/fr0stbit3/laya-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use fr0stbit3/laya-gguf with Ollama:
ollama run hf.co/fr0stbit3/laya-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use fr0stbit3/laya-gguf with Docker Model Runner:
docker model run hf.co/fr0stbit3/laya-gguf:Q4_K_M
- Lemonade
How to use fr0stbit3/laya-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fr0stbit3/laya-gguf:Q4_K_M
Run and chat with the model
lemonade run user.laya-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 308 Bytes
8467341 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 8192,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "[UNK]"
} |