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
- Llama new
- 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
File size: 535 Bytes
d7c8a47 7733b68 d7c8a47 7733b68 d7c8a47 | 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 | {
"architectures": [
"LlamaForCausalLM"
],
"attn_pdrop": 0.1,
"bos_token_id": 2,
"dtype": "float32",
"embd_pdrop": 0.1,
"eos_token_id": 3,
"head_dim": 64,
"intermediate_size": 2048,
"layer_norm_epsilon": 1e-05,
"model_type": "nae1",
"n_embd": 768,
"n_head": 12,
"n_kv_heads": 4,
"n_layer": 12,
"n_positions": 1024,
"n_query_groups": 3,
"pad_token_id": 0,
"resid_pdrop": 0.1,
"rope_theta": 1000000.0,
"tie_word_embeddings": true,
"transformers_version": "5.16.1",
"vocab_size": 32000
}
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