Instructions to use moxin-org/Moxin-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use moxin-org/Moxin-7B-Chat with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="moxin-org/Moxin-7B-Chat",
	filename="moxin-chat-7b.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use moxin-org/Moxin-7B-Chat with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf moxin-org/Moxin-7B-Chat
# Run inference directly in the terminal:
llama-cli -hf moxin-org/Moxin-7B-Chat

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf moxin-org/Moxin-7B-Chat
# Run inference directly in the terminal:
llama-cli -hf moxin-org/Moxin-7B-Chat

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 moxin-org/Moxin-7B-Chat
# Run inference directly in the terminal:
./llama-cli -hf moxin-org/Moxin-7B-Chat

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 moxin-org/Moxin-7B-Chat
# Run inference directly in the terminal:
./build/bin/llama-cli -hf moxin-org/Moxin-7B-Chat

Use Docker

docker model run hf.co/moxin-org/Moxin-7B-Chat

LM Studio
Jan
Ollama
How to use moxin-org/Moxin-7B-Chat with Ollama:
```
ollama run hf.co/moxin-org/Moxin-7B-Chat
```

Unsloth Studio

How to use moxin-org/Moxin-7B-Chat with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for moxin-org/Moxin-7B-Chat to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for moxin-org/Moxin-7B-Chat to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for moxin-org/Moxin-7B-Chat to start chatting

Docker Model Runner
How to use moxin-org/Moxin-7B-Chat with Docker Model Runner:
```
docker model run hf.co/moxin-org/Moxin-7B-Chat
```

Lemonade

How to use moxin-org/Moxin-7B-Chat with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull moxin-org/Moxin-7B-Chat

Run and chat with the model

lemonade run user.Moxin-7B-Chat-{{QUANT_TAG}}

List all available models

lemonade list

Moxin-7B-Chat / tokenizer_config.json

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	{
	"add_bos_token": true,
	"add_eos_token": false,
	"add_prefix_space": null,
	"added_tokens_decoder": {
	"0": {
	"content": "<unk>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "</s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": [],
	"bos_token": "<s>",
	"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
	"clean_up_tokenization_spaces": false,
	"eos_token": "</s>",
	"legacy": false,
	"model_max_length": 1000000000000000019884624838656,
	"pad_token": null,
	"sp_model_kwargs": {},
	"spaces_between_special_tokens": false,
	"tokenizer_class": "LlamaTokenizer",
	"unk_token": "<unk>",
	"use_default_system_prompt": false
	}