Instructions to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test 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 chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test: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 chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test: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 chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M

Use Docker

docker model run hf.co/chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M

LM Studio
Jan
Ollama
How to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test with Ollama:
```
ollama run hf.co/chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test with Docker Model Runner:
```
docker model run hf.co/chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M
```

Lemonade

How to use chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test:Q4_K_M

Run and chat with the model

lemonade run user.Qwen2.5-32B-Instruct-H3-GGUF-test-Q4_K_M

List all available models

lemonade list

Atomic Chat

Qwen2.5-32B-Instruct-H3-GGUF-test

File size: 483 Bytes

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FROM ./chohtet/Qwen2.5-32B-Instruct-H3-GGUF-test/unsloth.BF16.gguf
TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>

{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>

{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>

{{ .Response }}<|eot_id|>"""
PARAMETER stop "<|start_header_id|>"
PARAMETER stop "<|end_header_id|>"
PARAMETER stop "<|eot_id|>"
PARAMETER temperature 1.5
PARAMETER min_p 0.1