Text Generation
Safetensors
GGUF
English
nae1
neuralai
causal-lm
llama-cpp
from-scratch
pretraining
sft
tool-use
local-ai
tiny-model
conversational
Instructions to use Subject-Emu-5259/NeuralAI-Nae1 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 Subject-Emu-5259/NeuralAI-Nae1 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 Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M # Run inference directly in the terminal: llama cli -hf Subject-Emu-5259/NeuralAI-Nae1: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 Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Subject-Emu-5259/NeuralAI-Nae1: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 Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
Use Docker
docker model run hf.co/Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Subject-Emu-5259/NeuralAI-Nae1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Subject-Emu-5259/NeuralAI-Nae1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Subject-Emu-5259/NeuralAI-Nae1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
- Ollama
How to use Subject-Emu-5259/NeuralAI-Nae1 with Ollama:
ollama run hf.co/Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Subject-Emu-5259/NeuralAI-Nae1 with Docker Model Runner:
docker model run hf.co/Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
- Lemonade
How to use Subject-Emu-5259/NeuralAI-Nae1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Subject-Emu-5259/NeuralAI-Nae1:Q4_K_M
Run and chat with the model
lemonade run user.NeuralAI-Nae1-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Refresh to step-24000: weights (Q4/f32), eval report, README, showcase assets (PPL 147.97)
335c09f verified Download eval_step24000_q4_n512.json from Subject-Emu-5259/NeuralAI-Nae1: direct link, hf CLI and curl.
- Browser
- Download file 604 Bytes
-
https://huggingface.co/Subject-Emu-5259/NeuralAI-Nae1/resolve/main/eval_step24000_q4_n512.json
- Command line
-
hf download hf://Subject-Emu-5259/NeuralAI-Nae1/eval_step24000_q4_n512.json
-
curl -L -o eval_step24000_q4_n512.json https://huggingface.co/Subject-Emu-5259/NeuralAI-Nae1/resolve/main/eval_step24000_q4_n512.json
604 Bytes
| { | |
| "model": "/Users/deandrewharris/Projects/NuralAI-Project-is-stored-on-zo-computer/artifacts/nae1_gguf/nae1-llama-Q4_K_M-step24000.gguf", | |
| "context_size": 512, | |
| "scoring": "teacher forcing: one llm.eval(chunk) + row j scores token j+1 (first token excluded)", | |
| "probe": { | |
| "text": "The quick brown fox", | |
| "tokens": 10, | |
| "total_nll_nats": 51.4357048364431, | |
| "perplexity": 171.3263956486749 | |
| }, | |
| "heldout": { | |
| "documents": 992, | |
| "tokens": 1027766, | |
| "total_nll_nats": 5135780.6794782, | |
| "mean_nll_nats_per_token": 4.997033059546823, | |
| "perplexity": 147.97347867241118 | |
| } | |
| } | |