Transformers
Safetensors
GGUF
English
gemma
text-generation-inference
unsloth
trl
sft
conversational
Instructions to use bennizone/gemma_HA-Requests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bennizone/gemma_HA-Requests with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bennizone/gemma_HA-Requests", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bennizone/gemma_HA-Requests 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 bennizone/gemma_HA-Requests:Q4_K_M # Run inference directly in the terminal: llama cli -hf bennizone/gemma_HA-Requests:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf bennizone/gemma_HA-Requests:Q4_K_M # Run inference directly in the terminal: llama cli -hf bennizone/gemma_HA-Requests:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf bennizone/gemma_HA-Requests:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf bennizone/gemma_HA-Requests:Q4_K_M
Use Docker
docker model run hf.co/bennizone/gemma_HA-Requests:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use bennizone/gemma_HA-Requests with Ollama:
ollama run hf.co/bennizone/gemma_HA-Requests:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bennizone/gemma_HA-Requests with Docker Model Runner:
docker model run hf.co/bennizone/gemma_HA-Requests:Q4_K_M
- Lemonade
How to use bennizone/gemma_HA-Requests with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bennizone/gemma_HA-Requests:Q4_K_M
Run and chat with the model
lemonade run user.gemma_HA-Requests-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tokenizer_config.json from bennizone/gemma_HA-Requests: direct link, hf CLI and curl.
- Browser
- Download file 1.77 kB
-
https://huggingface.co/bennizone/gemma_HA-Requests/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://bennizone/gemma_HA-Requests/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/bennizone/gemma_HA-Requests/resolve/main/tokenizer_config.json
1.77 kB
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "106": { | |
| "content": "<start_of_turn>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "107": { | |
| "content": "<end_of_turn>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<bos>", | |
| "chat_template": "{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n' + message['value'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "GemmaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |