Instructions to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M

Use Docker

docker model run hf.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M

Ollama
How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF with Ollama:
```
ollama run hf.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
```

Unsloth Studio

How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-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 featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF to start chatting

Docker Model Runner
How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF with Docker Model Runner:
```
docker model run hf.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M
```

Lemonade

How to use featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF

File size: 3,376 Bytes

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---
base_model: JJhooww/Mistral-7B-v0.2-Base_ptbr
pipeline_tag: text-generation
quantized_by: featherless-ai-quants
---

# JJhooww/Mistral-7B-v0.2-Base_ptbr GGUF Quantizations 🚀

![Featherless AI Quants](./featherless-quants.png)

*Optimized GGUF quantization files for enhanced model performance*

> Powered by [Featherless AI](https://featherless.ai) - run any model you'd like for a simple small fee.
---

## Available Quantizations 📊

| Quantization Type | File | Size |
|-------------------|------|------|
| IQ4_XS | [JJhooww-Mistral-7B-v0.2-Base_ptbr-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-IQ4_XS.gguf) | 3761.66 MB |
| Q2_K | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q2_K.gguf) | 2593.27 MB |
| Q3_K_L | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_L.gguf) | 3644.97 MB |
| Q3_K_M | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_M.gguf) | 3355.97 MB |
| Q3_K_S | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q3_K_S.gguf) | 3017.97 MB |
| Q4_K_M | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q4_K_M.gguf) | 4166.07 MB |
| Q4_K_S | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q4_K_S.gguf) | 3948.57 MB |
| Q5_K_M | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q5_K_M.gguf) | 4893.69 MB |
| Q5_K_S | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q5_K_S.gguf) | 4766.19 MB |
| Q6_K | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q6_K.gguf) | 5666.80 MB |
| Q8_0 | [JJhooww-Mistral-7B-v0.2-Base_ptbr-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/JJhooww-Mistral-7B-v0.2-Base_ptbr-GGUF/blob/main/JJhooww-Mistral-7B-v0.2-Base_ptbr-Q8_0.gguf) | 7339.34 MB |


---

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---

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