Instructions to use Phora68/rapha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Phora68/rapha 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 Phora68/rapha:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Phora68/rapha:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Phora68/rapha:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Phora68/rapha: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 Phora68/rapha:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Phora68/rapha: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 Phora68/rapha:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Phora68/rapha:Q4_K_M

Use Docker

docker model run hf.co/Phora68/rapha:Q4_K_M

LM Studio
Jan
Ollama
How to use Phora68/rapha with Ollama:
```
ollama run hf.co/Phora68/rapha:Q4_K_M
```

Unsloth Studio

How to use Phora68/rapha 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 Phora68/rapha 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 Phora68/rapha to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Phora68/rapha to start chatting

Docker Model Runner
How to use Phora68/rapha with Docker Model Runner:
```
docker model run hf.co/Phora68/rapha:Q4_K_M
```

Lemonade

How to use Phora68/rapha with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Phora68/rapha:Q4_K_M

Run and chat with the model

lemonade run user.rapha-Q4_K_M

List all available models

lemonade list

Atomic Chat

Phora68 commited on 21 days ago

Commit

b7729df

verified ·

1 Parent(s): 21d856c

Upload model trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (3) hide show

README.md +8 -8
adapter_config.json +4 -4
adapter_model.safetensors +2 -2

README.md CHANGED Viewed

@@ -2,15 +2,15 @@
 license: other
 base_model: unsloth/Qwen2.5-3B-Instruct-bnb-4bit
 tags:
-  - clinical
-  - medical
-  - healthcare
-  - qlora
-  - unsloth
-  - chatml
-  - rapha
 language:
-  - en
 ---
 # Rapha — Clinical AI Physician Assistant

 license: other
 base_model: unsloth/Qwen2.5-3B-Instruct-bnb-4bit
 tags:
+- clinical
+- medical
+- healthcare
+- qlora
+- unsloth
+- chatml
+- rapha
 language:
+- en
 ---
 # Rapha — Clinical AI Physician Assistant

adapter_config.json CHANGED Viewed

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   "lora_ga_config": null,
   "peft_type": "LORA",
   "peft_version": "0.19.1",
   "qalora_group_size": 16,
+  "r": 64,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "k_proj",
     "gate_proj",
+    "o_proj",
+    "v_proj",
     "q_proj",
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