- Libraries
- PEFT
How to use Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
model = PeftModel.from_pretrained(base_model, "Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep 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 Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
# Run inference directly in the terminal:
llama cli -hf Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
# Run inference directly in the terminal:
llama cli -hf Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_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 Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_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 Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
Use Docker
docker model run hf.co/Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
- LM Studio
- Jan
- Ollama
How to use Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep with Ollama:
ollama run hf.co/Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep with Docker Model Runner:
docker model run hf.co/Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
- Lemonade
How to use Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull Fynd/cleaned_v5_llamav2_7b_intent_entity_6_ep:Q4_0
Run and chat with the model
lemonade run user.cleaned_v5_llamav2_7b_intent_entity_6_ep-Q4_0
List all available models
lemonade list
- Atomic Chat
