Instructions to use HaloWang/rwkv-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use HaloWang/rwkv-weights with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use HaloWang/rwkv-weights 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 HaloWang/rwkv-weights:Q4_K_M # Run inference directly in the terminal: llama cli -hf HaloWang/rwkv-weights:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf HaloWang/rwkv-weights:Q4_K_M # Run inference directly in the terminal: llama cli -hf HaloWang/rwkv-weights: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 HaloWang/rwkv-weights:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf HaloWang/rwkv-weights: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 HaloWang/rwkv-weights:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf HaloWang/rwkv-weights:Q4_K_M
Use Docker
docker model run hf.co/HaloWang/rwkv-weights:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use HaloWang/rwkv-weights with Ollama:
ollama run hf.co/HaloWang/rwkv-weights:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use HaloWang/rwkv-weights with Docker Model Runner:
docker model run hf.co/HaloWang/rwkv-weights:Q4_K_M
- Lemonade
How to use HaloWang/rwkv-weights with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HaloWang/rwkv-weights:Q4_K_M
Run and chat with the model
lemonade run user.rwkv-weights-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Publish Core ML compatibility manifest
Browse files- index.json +22 -2
index.json
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{
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"schemaVersion": 1,
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"repository": "HaloWang/rwkv-weights",
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"updatedAt": "2026-10-20T10:
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"latestManifest": "manifests/rwkv7/chat/g1k-20260930-ctx25600-4.8.6-coreml-ios-
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"manifests": [
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{
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"id": "rwkv7-chat-g1k-coreml-ios-mobile-sizes-20261020",
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"family": "rwkv7",
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{
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"schemaVersion": 1,
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"repository": "HaloWang/rwkv-weights",
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"updatedAt": "2026-10-20T10:34:23.526526+00:00",
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"latestManifest": "manifests/rwkv7/chat/g1k-20260930-ctx25600-4.8.6-coreml-ios-small-models-20261020.json",
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"manifests": [
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{
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"id": "rwkv7-chat-g1k-coreml-ios-small-models-20261020",
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"family": "rwkv7",
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"generation": "g1k",
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"task": "chat",
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"backend": "coreml",
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"path": "manifests/rwkv7/chat/g1k-coreml-ios-small-models-20261020.json",
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"immutable": true,
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"artifactCount": 4
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},
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{
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"id": "rwkv7-chat-g1k-20260930-ctx25600-4.8.6-coreml-ios-small-models-20261020",
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"family": "rwkv7",
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"generation": "g1k",
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"task": "chat",
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"backend": "multi",
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"path": "manifests/rwkv7/chat/g1k-20260930-ctx25600-4.8.6-coreml-ios-small-models-20261020.json",
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"immutable": true,
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"artifactCount": 40
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},
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{
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"id": "rwkv7-chat-g1k-coreml-ios-mobile-sizes-20261020",
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"family": "rwkv7",
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