Instructions to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF", dtype="auto")

llama-cpp-python

How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF",
	filename="mistral-7b-inst-0.2-bulleted-notes.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_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 cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_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 cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M

Use Docker

docker model run hf.co/cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with Ollama:
```
ollama run hf.co/cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
```

Unsloth Studio new

How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF 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 cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF 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 cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF to start chatting

Docker Model Runner
How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with Docker Model Runner:
```
docker model run hf.co/cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M
```

Lemonade

How to use cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cognitivetech/Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mistral-7b-Inst-0.2-Bulleted-Notes_GGUF-Q4_K_M

List all available models

lemonade list

cognitivetech commited on Apr 17, 2024

Commit

c563bd9

verified ·

1 Parent(s): 2f11d61

Upload folder using huggingface_hub

Browse files

Files changed (9) hide show

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README.md +22 -0
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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- mistral
+- gguf
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+---
+# Uploaded  model
+- **Developed by:** cognitivetech
+- **License:** apache-2.0
+- **Finetuned from model :** mistralai/Mistral-7B-Instruct-v0.2
+This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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