Instructions to use Akira-Papa/akira-papa-1.0-e2b-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Akira-Papa/akira-papa-1.0-e2b-jp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Akira-Papa/akira-papa-1.0-e2b-jp --local-dir akira-papa-1.0-e2b-jp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Akira-Papa/akira-papa-1.0-e2b-jp 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 Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M # Run inference directly in the terminal: llama cli -hf Akira-Papa/akira-papa-1.0-e2b-jp: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 Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Akira-Papa/akira-papa-1.0-e2b-jp: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 Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
Use Docker
docker model run hf.co/Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Akira-Papa/akira-papa-1.0-e2b-jp with Ollama:
ollama run hf.co/Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
- Unsloth Desktop
- Pi
How to use Akira-Papa/akira-papa-1.0-e2b-jp with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Akira-Papa/akira-papa-1.0-e2b-jp"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Akira-Papa/akira-papa-1.0-e2b-jp" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Akira-Papa/akira-papa-1.0-e2b-jp with Docker Model Runner:
docker model run hf.co/Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
- Lemonade
How to use Akira-Papa/akira-papa-1.0-e2b-jp with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Akira-Papa/akira-papa-1.0-e2b-jp:Q4_K_M
Run and chat with the model
lemonade run user.akira-papa-1.0-e2b-jp-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Akira-Papa/akira-papa-1.0-e2b-jp with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Akira-Papa/akira-papa-1.0-e2b-jp"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Akira-Papa/akira-papa-1.0-e2b-jp
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Akira-Papa/akira-papa-1.0-e2b-jp with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Akira-Papa/akira-papa-1.0-e2b-jp"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Akira-Papa/akira-papa-1.0-e2b-jp" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download tokenizer_config.json from Akira-Papa/akira-papa-1.0-e2b-jp: direct link, hf CLI and curl.
- Browser
- Download file 2.69 kB
-
https://huggingface.co/Akira-Papa/akira-papa-1.0-e2b-jp/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Akira-Papa/akira-papa-1.0-e2b-jp/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Akira-Papa/akira-papa-1.0-e2b-jp/resolve/main/tokenizer_config.json
2.69 kB
| { | |
| "audio_token": "<|audio|>", | |
| "backend": "tokenizers", | |
| "boa_token": "<|audio>", | |
| "boi_token": "<|image>", | |
| "bos_token": "<bos>", | |
| "eoa_token": "<audio|>", | |
| "eoc_token": "<channel|>", | |
| "eoi_token": "<image|>", | |
| "eos_token": "<eos>", | |
| "eot_token": "<turn|>", | |
| "escape_token": "<|\"|>", | |
| "etc_token": "<tool_call|>", | |
| "etd_token": "<tool|>", | |
| "etr_token": "<tool_response|>", | |
| "extra_special_tokens": [ | |
| "<|video|>" | |
| ], | |
| "image_token": "<|image|>", | |
| "is_local": true, | |
| "mask_token": "<mask>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": { | |
| "audio_token": "<|audio|>", | |
| "boa_token": "<|audio>", | |
| "boi_token": "<|image>", | |
| "eoa_token": "<audio|>", | |
| "eoc_token": "<channel|>", | |
| "eoi_token": "<image|>", | |
| "eot_token": "<turn|>", | |
| "escape_token": "<|\"|>", | |
| "etc_token": "<tool_call|>", | |
| "etd_token": "<tool|>", | |
| "etr_token": "<tool_response|>", | |
| "image_token": "<|image|>", | |
| "soc_token": "<|channel>", | |
| "sot_token": "<|turn>", | |
| "stc_token": "<|tool_call>", | |
| "std_token": "<|tool>", | |
| "str_token": "<|tool_response>", | |
| "think_token": "<|think|>" | |
| }, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "processor_class": "Gemma4Processor", | |
| "response_schema": { | |
| "properties": { | |
| "content": { | |
| "type": "string" | |
| }, | |
| "role": { | |
| "const": "assistant" | |
| }, | |
| "thinking": { | |
| "type": "string" | |
| }, | |
| "tool_calls": { | |
| "items": { | |
| "properties": { | |
| "function": { | |
| "properties": { | |
| "arguments": { | |
| "additionalProperties": {}, | |
| "type": "object", | |
| "x-parser": "gemma4-tool-call" | |
| }, | |
| "name": { | |
| "type": "string" | |
| } | |
| }, | |
| "type": "object", | |
| "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})" | |
| }, | |
| "type": { | |
| "const": "function" | |
| } | |
| }, | |
| "type": "object" | |
| }, | |
| "type": "array", | |
| "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>" | |
| } | |
| }, | |
| "type": "object", | |
| "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<content>(?:(?!\\<\\|tool_call\\>)(?!\\<turn\\|\\>).)+)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?:\\<turn\\|\\>)?" | |
| }, | |
| "soc_token": "<|channel>", | |
| "sot_token": "<|turn>", | |
| "stc_token": "<|tool_call>", | |
| "std_token": "<|tool>", | |
| "str_token": "<|tool_response>", | |
| "think_token": "<|think|>", | |
| "tokenizer_class": "GemmaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |