Instructions to use Achraf1313/Version0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Achraf1313/Version0 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Achraf1313/Version0", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Achraf1313/Version0 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 Achraf1313/Version0:Q8_0
# Run inference directly in the terminal:
llama cli -hf Achraf1313/Version0:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Achraf1313/Version0:Q8_0
# Run inference directly in the terminal:
llama cli -hf Achraf1313/Version0:Q8_0

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 Achraf1313/Version0:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Achraf1313/Version0:Q8_0

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 Achraf1313/Version0:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Achraf1313/Version0:Q8_0

Use Docker

docker model run hf.co/Achraf1313/Version0:Q8_0

LM Studio
Jan
Ollama
How to use Achraf1313/Version0 with Ollama:
```
ollama run hf.co/Achraf1313/Version0:Q8_0
```

Unsloth Studio

How to use Achraf1313/Version0 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 Achraf1313/Version0 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 Achraf1313/Version0 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Achraf1313/Version0 to start chatting

Atomic Chat new
Docker Model Runner
How to use Achraf1313/Version0 with Docker Model Runner:
```
docker model run hf.co/Achraf1313/Version0:Q8_0
```

Lemonade

How to use Achraf1313/Version0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Achraf1313/Version0:Q8_0

Run and chat with the model

lemonade run user.Version0-Q8_0

List all available models

lemonade list

Version0 / tokenizer_config.json

Achraf1313

Upload model trained with Unsloth

fd311d2 verified about 2 years ago

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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": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
	"clean_up_tokenization_spaces": false,
	"eos_token": "</s>",
	"legacy": true,
	"model_max_length": 32768,
	"pad_token": "<unk>",
	"padding_side": "right",
	"sp_model_kwargs": {},
	"spaces_between_special_tokens": false,
	"tokenizer_class": "LlamaTokenizer",
	"unk_token": "<unk>",
	"use_default_system_prompt": false
	}