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

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/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Subject-Emu-5259/NeuralAI-Nae1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

NeuralAI-Nae1 / config.json

Subject-Emu-5259

Publish Nae1 step-8000: card, graphics, GGUFs (f32 + Q4_K_M), config, tokenizer, eval report

d7c8a47 verified 4 days ago

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558 Bytes

	{
	"architectures": [
	"Nae1ForCausalLM"
	],
	"attn_pdrop": 0.1,
	"bos_token_id": 2,
	"dtype": "float32",
	"embd_pdrop": 0.1,
	"eos_token_id": 3,
	"head_dim": 64,
	"hidden_act": "silu",
	"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": 2048,
	"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
	}