Instructions to use beowolx/MistralHermes-CodePro-7B-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use beowolx/MistralHermes-CodePro-7B-v1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="beowolx/MistralHermes-CodePro-7B-v1-GGUF",
	filename="mistralhermes-codepro-7b-v1.Q4_K_M.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 beowolx/MistralHermes-CodePro-7B-v1-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf beowolx/MistralHermes-CodePro-7B-v1-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 beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf beowolx/MistralHermes-CodePro-7B-v1-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 beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf beowolx/MistralHermes-CodePro-7B-v1-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 beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use beowolx/MistralHermes-CodePro-7B-v1-GGUF with Ollama:
```
ollama run hf.co/beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
```

Unsloth Studio new

How to use beowolx/MistralHermes-CodePro-7B-v1-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 beowolx/MistralHermes-CodePro-7B-v1-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 beowolx/MistralHermes-CodePro-7B-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for beowolx/MistralHermes-CodePro-7B-v1-GGUF to start chatting

Docker Model Runner
How to use beowolx/MistralHermes-CodePro-7B-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M
```

Lemonade

How to use beowolx/MistralHermes-CodePro-7B-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull beowolx/MistralHermes-CodePro-7B-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.MistralHermes-CodePro-7B-v1-GGUF-Q4_K_M

List all available models

lemonade list

MistralHermes-CodePro-7B-v1-GGUF

In the digital pantheon of artificial intelligence, "MistralHermes-CodePro-7B-v1" stands as the architect of algorithms, a sovereign of syntax who weaves the fabric of code with unparalleled skill. This model, christened in recognition of its dual lineage—Mistral's foundational breadth and Hermes' agile conveyance—commands the binary ballet with the precision of a seasoned maestro, orchestrating the dance of data with a grace that blurs the line between the silicon and the cerebral.

Model description

This is the quantized version of MistralHermes-CodePro-7B-v1.

MistralHermes-CodePro-7B-v1 is a fine-tuned iteration of the renowned teknium/OpenHermes-2.5-Mistral-7B model. This version has been meticulously fine-tuned using a dataset comprising over 200,000 code samples from a wide array of programming languages. It is specifically tailored to serve as a coding assistant; thus, its utility is optimized for coding-related tasks rather than a broader spectrum of applications.

Prompt Format

MistralHermes-CodePro uses the same prompt format than OpenHermes 2.5.

You should use LM Studio for chatting with the model.

Downloads last month: 21

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for beowolx/MistralHermes-CodePro-7B-v1-GGUF

Base model

mistralai/Mistral-7B-v0.1

Finetuned

teknium/OpenHermes-2.5-Mistral-7B

Quantized

(53)

this model