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.json from bennizone/gemma_HA-Requests: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/bennizone/gemma_HA-Requests/resolve/main/tokenizer.json
- Command line
-
hf download hf://bennizone/gemma_HA-Requests/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bennizone/gemma_HA-Requests/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 821249b213e889d5e54f09149a8f2263035f55f235c47c3379151b12f78c9edb
- Size of remote file:
- 17.5 MB
- SHA256:
- 6997132291359db4c2acb42c0387f4c207d3528fc889f81d1ff235e0f2e978fd
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