Instructions to use MarsupialAI/Yi-34B-200k-v2_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MarsupialAI/Yi-34B-200k-v2_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 MarsupialAI/Yi-34B-200k-v2_GGUF # Run inference directly in the terminal: llama cli -hf MarsupialAI/Yi-34B-200k-v2_GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MarsupialAI/Yi-34B-200k-v2_GGUF # Run inference directly in the terminal: llama cli -hf MarsupialAI/Yi-34B-200k-v2_GGUF
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 MarsupialAI/Yi-34B-200k-v2_GGUF # Run inference directly in the terminal: ./llama-cli -hf MarsupialAI/Yi-34B-200k-v2_GGUF
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 MarsupialAI/Yi-34B-200k-v2_GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf MarsupialAI/Yi-34B-200k-v2_GGUF
Use Docker
docker model run hf.co/MarsupialAI/Yi-34B-200k-v2_GGUF
- LM Studio
- Jan
- Ollama
How to use MarsupialAI/Yi-34B-200k-v2_GGUF with Ollama:
ollama run hf.co/MarsupialAI/Yi-34B-200k-v2_GGUF
- Unsloth Desktop
- Docker Model Runner
How to use MarsupialAI/Yi-34B-200k-v2_GGUF with Docker Model Runner:
docker model run hf.co/MarsupialAI/Yi-34B-200k-v2_GGUF
- Lemonade
How to use MarsupialAI/Yi-34B-200k-v2_GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MarsupialAI/Yi-34B-200k-v2_GGUF
Run and chat with the model
lemonade run user.Yi-34B-200k-v2_GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
GGUFs for Yi 34b 200k v2: https://huggingface.co/01-ai/Yi-34B-200K
This is the 24/03/07 updated version with enhanced long-context performance. From their notes:
The long text capability of the Yi-34B-200K has been enhanced. In the "Needle-in-a-Haystack" test, the Yi-34B-200K's performance is improved by 10.5%, rising from 89.3% to an impressive 99.8%. We continue to pretrain the model on 5B tokens long-context data mixture and demonstrate a near-all-green performance.
FP16 split with peazip. Recombine with peazip, 7zip, or a simple concatenate command.
- Downloads last month
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We're not able to determine the quantization variants.