Image-Text-to-Text
GGUF
llama.cpp
qwen
amd
rocm
gfx1151
strix-halo
iu4
mtp
long-context
vision
conversational
Instructions to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 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 jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 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 jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0 # Run inference directly in the terminal: llama cli -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0 # Run inference directly in the terminal: llama cli -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
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 jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
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 jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Use Docker
docker model run hf.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
- LM Studio
- Jan
- vLLM
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
- Ollama
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with Ollama:
ollama run hf.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
- Unsloth Desktop
- Pi
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with Docker Model Runner:
docker model run hf.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
- Lemonade
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Run and chat with the model
lemonade run user.Qwen3.8-Flash-CIRU-STRIX-IU4-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download benchmarks/v2.0/row-audit.json from jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4: direct link, hf CLI and curl.
- Browser
- Download file 12 kB
-
https://huggingface.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4/resolve/a67c2ba05ee35ad3e7b82767c1afd6cef1f73a20/benchmarks/v2.0/row-audit.json
- Command line
-
hf download hf://jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4@a67c2ba05ee35ad3e7b82767c1afd6cef1f73a20/benchmarks/v2.0/row-audit.json
-
curl -L -o row-audit.json https://huggingface.co/jcbtc/Qwen3.8-Flash-CIRU-STRIX-IU4/resolve/a67c2ba05ee35ad3e7b82767c1afd6cef1f73a20/benchmarks/v2.0/row-audit.json
12 kB
| [ | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp512", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp512/row.json", | |
| "row_sha256": "473fb0da15e39b5a83b5bb67c70bbc5aeb83a00e93786a907b7eb88739d14b1b", | |
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| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp2048", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp2048/row.json", | |
| "row_sha256": "bd259a73f6cd69f048c4269908915d19c26a1debd395f507e9631fe1bb3d44a8", | |
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| "db_chain_hash": "d1d5fe8f736922f7b5b8cbc94e87f6b349411c67618f8f0bb04f2cd1733d651a", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp8192", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp8192/row.json", | |
| "row_sha256": "da000c4648ae584c75dbc4336187587ee55e69de74bb8acd31a44ccfac4e9c72", | |
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| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp16384", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp16384/row.json", | |
| "row_sha256": "6f23c195db77cb88ddc4731f3981eec2d0ddb02db483eda3dc574cc78c9f2467", | |
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| "db_chain_hash": "2b896151363a39252b4d940d06dd35025f061b8c74173cf6ccc5b65a435e64aa", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp32768", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp32768/row.json", | |
| "row_sha256": "086960f2abb3b29f56ffffb3693a5243e423fd08be8c933516b9f12c174e2b5c", | |
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| "db_seq": 243, | |
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| "db_chain_hash": "e1a7807b5f06cd41dfda1e53ff2657d6c9310b7df9c434c3a4a8c5b4348407e9", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp65536", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp65536/row.json", | |
| "row_sha256": "803b8e4cf5a82d1ae7ccc12fb1556dab4bf3ceb6e00aff90dcad2d8fbd04cb97", | |
| "raw_sha256": "ac7bfde237162b53d1d57f2a58aaefaa791d467566cba0fe7e270338724cbe2a", | |
| "db_seq": 244, | |
| "db_row_hash": "943c0c64be931bbd972db75d74588f3018f6e417f676b16b4e7d14d79f933d7b", | |
| "db_chain_hash": "6d505c44cef7cc951fcc05670c01ae9f448c50e462c6261cefcc609283062698", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "v2-ciru-rc2-no-mtp-pp131072", | |
| "row_file": "/srv/llm/work/qwen38-v2-release-20260905/sweep-sozo/ciru-rc2-mtp-off-sweep/pp131072/row.json", | |
| "row_sha256": "a7566b16fdc3740f078a69e74e558ae6b548c8624a799308da02447ec0427fcf", | |
| "raw_sha256": "6bc32148916d08c2feee98b09be62b36bad843f1df5eab9bf702dd6c1336ec5a", | |
| "db_seq": 245, | |
| "db_row_hash": "a5cb1cf628e2cdd4dfbeddcd41d096df1b2a510190a77d0129bac78efe9ef5c1", | |
| "db_chain_hash": "866aaad7ed1f65c545858eeb521ec48ff1580ea43bcbd8413472c2277b1062ae", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp512", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp512/row.json", | |
| "row_sha256": "775a400e7c22fa92d91edf847405c2c51a0ed18661efe85a8fd6255a99bc6086", | |
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| "db_row_hash": "2c9b3448c8ceaffefd3df800bcb079b3b94becbf05a837073c4046feac32e9af", | |
| "db_chain_hash": "cd6a56b5098b6f320f9d085166353cc966bed342991c8b562f1ee7b2708b26ae", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp2048", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp2048/row.json", | |
| "row_sha256": "dadbba441f5daa39776c0bd59e0594e8cb76de2a4c98c1288687b0dcf45e66af", | |
| "raw_sha256": "b59f04d0ef7fbde95fb2a97a8004ca6b32dcdfa1834a5c75fcc77899cd7a3e24", | |
| "db_seq": 157, | |
| "db_row_hash": "f9a7b60179fbb5d31d19733326f21f382b06ff079610a067eb147656c5d7e897", | |
| "db_chain_hash": "07a52d8e940c285f1c08e18af477abd31a350740100e588120bb15d90c0d504e", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp8192", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp8192/row.json", | |
| "row_sha256": "102a59f7add6c625a184371d644d79a444d8f83387995f3735c1b49cad9c5447", | |
| "raw_sha256": "6c4d7d5185fefd323d4ee9896943a7223df04c4334454af249a111bec92b8c38", | |
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| "db_row_hash": "632019e8e4874c1bf9f58a970ec717badcbf6f095717414a2cee38a1dff9983a", | |
| "db_chain_hash": "9242a9382b9176e42ef848dbc3300016708611e4042faa2cd233e6778635d153", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp16384", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp16384/row.json", | |
| "row_sha256": "41f2c620690cb08189ac49e3888386169ffecdd7b3275222f47d24078eb4face", | |
| "raw_sha256": "abdbb2b146e533e30b6e7ec9acfdc34d171529a5485d74e5ae389fa1ce6c41e7", | |
| "db_seq": 159, | |
| "db_row_hash": "ac5b0936655a3cb2bdeefcc2f2877e21aa2a04b3059ccc87f660a7248d090de3", | |
| "db_chain_hash": "4e13378eef61482e2b4d55dcb5dfb72c705bd9a0b174de78190813bd41c3982c", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp32768", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp32768/row.json", | |
| "row_sha256": "5a3b9729d7b3164e3a5e2400666207d03324c2a1285c32a2356ba325cc4b7219", | |
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| "db_row_hash": "cde43b1e4ed927d89bb05a3bb8fbda1c0911ce531fb6d40ebd1a9777168f25e6", | |
| "db_chain_hash": "8319fce5119ec5645465146cc714724e00e61da4c562d0d72075500331a7a9c9", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp65536", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp65536/row.json", | |
| "row_sha256": "f275968ad35f1d6554a1825f22ab7175558bc4f24fd555def9d0bcaeafd1a46f", | |
| "raw_sha256": "aadd44795c66555e4f3a7d730eb122b1cda5fb808e431081bc6371b244f3a3b0", | |
| "db_seq": 161, | |
| "db_row_hash": "ee716643890d475df496dbb3955b018cae7b557c825e21d1074ec5e9a55d4651", | |
| "db_chain_hash": "8d74829090f0116cb3b703b5a4522865265fa62cd72ede005a0bd50d01fec4a9", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "agention-card-ladder-pp131072", | |
| "row_file": "/srv/llm/bench-results/agention-card-recipe-20260905/ladder/pp131072/row.json", | |
| "row_sha256": "1dce28c2dca2dde22c874671a7f8507ba882fea2e31220c310e151b2ee7b5d02", | |
| "raw_sha256": "d4db4b5cfb6adbd5b4e0158910ece599ab7430d8f7b3a0002c014c095e18fd03", | |
| "db_seq": 162, | |
| "db_row_hash": "fdfa9e6bd9974c123a9ca09cc4b76d233ec6ddf90a14ebc737b3af53c643a388", | |
| "db_chain_hash": "9698b0c2a55df72bb507de9e649fcbcd776edda0a6ee484f75b794b6cdd15529", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "unsloth-compare-unsloth-no-mtp-ladder-pp512", | |
| "row_file": "/srv/llm/bench-results/unsloth-runtime-compare-20260905/unsloth-no-mtp/ladder/pp512/row.json", | |
| "row_sha256": "ece8eca9f56e7d41b92246d1e12e6d97c871afa86a52c68dae0ab436b9486d61", | |
| "raw_sha256": "61734e4f1dc0c25ed4a7d31ff42632e8bed5c80998e076dd173f43a1defb97f8", | |
| "db_seq": 176, | |
| "db_row_hash": "63d810ccbfbabcf560b835fc5d28ed3a098ef4bd558e7cf72b7d6813379ece70", | |
| "db_chain_hash": "31a8f215a4860131b6fe9c13fe62b4051da3aa2d20fb7b0cbce785dd82bfb7b6", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "unsloth-compare-unsloth-no-mtp-ladder-pp2048", | |
| "row_file": "/srv/llm/bench-results/unsloth-runtime-compare-20260905/unsloth-no-mtp/ladder/pp2048/row.json", | |
| "row_sha256": "d69332962298bd5ad08fab9a0e3fef4e16d9333c158bed8a76625af3d1925984", | |
| "raw_sha256": "b74560d0cf1b77f1b625051026746d3f6da653f00ae57c136eca7b695b480db7", | |
| "db_seq": 177, | |
| "db_row_hash": "4e2930ad1f86139c8651523e8368b55b585dab16e4f632c5bbcc87b8883ea904", | |
| "db_chain_hash": "e8ac221501e485fade6cd26195a229b55ede229421553b27465a2ccf9a1915ce", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "unsloth-compare-unsloth-no-mtp-ladder-pp8192", | |
| "row_file": "/srv/llm/bench-results/unsloth-runtime-compare-20260905/unsloth-no-mtp/ladder/pp8192/row.json", | |
| "row_sha256": "0ea4bddc406a4d9dc83ba3f0c0da273407a6ced581b5866e899479b310077b8c", | |
| "raw_sha256": "ab258b25a16756e808e1f88674c3b00bc5235d97e379fe8e2c139a5f08c75ada", | |
| "db_seq": 178, | |
| "db_row_hash": "5b59b93c9b2c34ef6e0e0c288625893d63d9befa95a57982028b166c4796153c", | |
| "db_chain_hash": "c417bed086e23ebb94f3cc509a7ce3a1638e369aed3480a0e42e0bdce6687dc5", | |
| "tokens": 128, | |
| "kind": "sweep" | |
| }, | |
| { | |
| "label": "unsloth-compare-unsloth-no-mtp-ladder-pp16384", | |
| "row_file": "/srv/llm/bench-results/unsloth-runtime-compare-20260905/unsloth-no-mtp/ladder/pp16384/row.json", | |
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| { | |
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| { | |
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| { | |
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