Instructions to use TheBloke/Llama-2-7B-32K-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/Llama-2-7B-32K-Instruct-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/Llama-2-7B-32K-Instruct-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TheBloke/Llama-2-7B-32K-Instruct-GGUF 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 TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/Llama-2-7B-32K-Instruct-GGUF: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 TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/Llama-2-7B-32K-Instruct-GGUF: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 TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/Llama-2-7B-32K-Instruct-GGUF with Ollama:
```
ollama run hf.co/TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use TheBloke/Llama-2-7B-32K-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/Llama-2-7B-32K-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/Llama-2-7B-32K-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-2-7B-32K-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

TheBloke commited on Sep 27, 2023

Commit

d129471

1 Parent(s): 9d42d3b

Update base_model formatting

Browse files

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -1,14 +1,14 @@
 ---
-base_model: https://huggingface.co/togethercomputer/Llama-2-7B-32K-Instruct
-datasets:
-- togethercomputer/llama-instruct
-inference: false
 language:
 - en
-library_name: transformers
 license: llama2
-model_creator: Together
 model_name: Llama2 7B 32K Instruct
 model_type: llama
 prompt_template: '[INST]

 ---
 language:
 - en
 license: llama2
+library_name: transformers
+datasets:
+- togethercomputer/llama-instruct
 model_name: Llama2 7B 32K Instruct
+base_model: togethercomputer/Llama-2-7B-32K-Instruct
+inference: false
+model_creator: Together
 model_type: llama
 prompt_template: '[INST]