Instructions to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF", device_map="auto") - llama-cpp-python
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF", filename="coolant_24b_v.1-q4_k_s.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-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 OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
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 OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
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 OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
Use Docker
docker model run hf.co/OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with Ollama:
ollama run hf.co/OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
- Unsloth Studio
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-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 OddTheGreat/Spring_24B_V.5-Q4_K_S-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 OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with Docker Model Runner:
docker model run hf.co/OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
- Lemonade
How to use OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OddTheGreat/Spring_24B_V.5-Q4_K_S-GGUF:Q4_K_S
Run and chat with the model
lemonade run user.Spring_24B_V.5-Q4_K_S-GGUF-Q4_K_S
List all available models
lemonade list
Core лучше!
Собсно в заголовке все. Лучшая твоя модель это Core. Даже с Mars может поспорить. А эта плоская и с уклоном в "галопом по европам".
Кор хорош, не спорю. Лично я с ним наигрался, поэтому пошел дальше.
Так как вы не поленились дать фидбэк, ваше мнение мне особо интересно. Если вы распишете аспекты, которые вам понравились в Core, я попробую замутить модельку в стиле, но лучше. Я как раз думал что бы такого намержить следующим, когда с NeutralGear наиграюсь.
Конкретно эта модель не самая удачная, я уже думал о том чтоб её удалить с концами, но кто-то лайки ставил, значит кому-то зашло, поэтому пусть пока висит. NeutralGear лучше Спринга во всём, при этом следует той же идее.