Instructions to use FerrellSyntheticIntelligence/fsi-anomaly 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 FerrellSyntheticIntelligence/fsi-anomaly 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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: llama cli -hf FerrellSyntheticIntelligence/fsi-anomaly
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: llama cli -hf FerrellSyntheticIntelligence/fsi-anomaly
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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: ./llama-cli -hf FerrellSyntheticIntelligence/fsi-anomaly
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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: ./build/bin/llama-cli -hf FerrellSyntheticIntelligence/fsi-anomaly
Use Docker
docker model run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- LM Studio
- Jan
- Ollama
How to use FerrellSyntheticIntelligence/fsi-anomaly with Ollama:
ollama run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- Unsloth Desktop
- Docker Model Runner
How to use FerrellSyntheticIntelligence/fsi-anomaly with Docker Model Runner:
docker model run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- Lemonade
How to use FerrellSyntheticIntelligence/fsi-anomaly with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FerrellSyntheticIntelligence/fsi-anomaly
Run and chat with the model
lemonade run user.fsi-anomaly-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 5,892 Bytes
d83b47a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | == eval ckpt/tiny18m2/model_8500.pt ==
[p01] score 0.00 | verdict: funcspanmintrue | conf: cannot assess
[p02] score 0.00 | verdict: notminpisconfunsupparttrue | conf: cannot assess
[p03] score 0.00 | verdict: cmparttfixed | conf: cannot assess
[p04] score 0.00 | verdict: partmincisleantrue | conf: cannot assess
[p05] score 0.00 | verdict: funcspanminupponislealse | conf: canLHIGH
[p06] score 0.00 | verdict: cmpfixed | conf: cannot assess
[p07] score 0.00 | verdict: partminctrue | conf: cannot assess
[p08] score 0.00 | verdict: funcspaninmislealupponse | conf: canLHIGH
[p09] score 0.00 | verdict: funcspanminupponislealse | conf: canLHIGH
[p10] score 0.00 | verdict: cmpfixed | conf: cannot assess
[p11] score 0.00 | verdict: partcinfanmislealse | conf: canLHIGH
[p12] score 0.00 | verdict: funcspanmintrue | conf: cannot assess
[p13] score 0.00 | verdict: cmpfixinanislealse | conf: canLHIGH
[p14] score 0.00 | verdict: partcinfunsuppanmislealse | conf: cannot assess
[p15] score 0.00 | verdict: funcspanuppinmislealse | conf: canLHIGH
[p16] score 0.00 | verdict: cmpfunanislesubstartinantiated | conf: cannot assess
[p17] score 0.00 | verdict: funcspanminislealse | conf: cannot assess
[p18] score 0.00 | verdict: funcspanuppinmisleubstartant | conf: cannot assess
[p19] score 0.00 | verdict: partmincacconfunsuisleixed | conf: cannot assess
[p20] score 0.00 | verdict: partmincislefunstrue | conf: canLHIGH
[p21] score 0.00 | verdict: mpcfunsuppinanislealse | conf: canLHIGH
[p22] score 0.00 | verdict: tpcinfunsuppmislerue | conf: canLHIGH
[p23] score 0.00 | verdict: funcspanuppinmislealse | conf: canLHIGH
[p24] score 0.00 | verdict: funcspanminislealse | conf: cannot assess
[p25] score 0.00 | verdict: cmpfinanisleixed | conf: canLHIGH
[p26] score 0.00 | verdict: cmpfunanislesubstarttrue | conf: canLHIGH
[p27] score 0.00 | verdict: funcsuppinpanmtrue | conf: canLHIGH
[p28] score 0.00 | verdict: cmpfunsuppinisleantrue | conf: cannot assess
[p29] score 0.00 | verdict: funcspanmintrue | conf: cLHIGH
[p30] score 0.00 | verdict: funcspanmintrue | conf: canLHIGH
[p31] score 0.00 | verdict: parttincanmislerue | conf: cannot assess
[p32] score 0.00 | verdict: funcspmintrue | conf: canLHIGH
[p33] score 0.00 | verdict: cmpfixed | conf: cannot assess
[p34] score 0.00 | verdict: partmincaconfuncsuppantr | conf: cannot assess
[p35] score 0.00 | verdict: cmpinfunsuacctrue | conf: cannot assess
[p36] score 0.00 | verdict: mincpanislefixed | conf: cannot assess
[p37] score 0.00 | verdict: minpctfunsuppranislealse | conf: canLHIGH
[p38] score 0.00 | verdict: partmincacctfunsrue | conf: canLHIGH
[p39] score 0.00 | verdict: partmincislefunsuaccontr | conf: cannot assess
[p40] score 0.00 | verdict: funcspanmintrue | conf: cannot assess
[p41] score 0.00 | verdict: confinanalaccurate | conf: cannot assess
[p42] score 0.00 | verdict: confunsuanalse | conf: canHIMEDIUM
[p43] score 0.00 | verdict: funsualtrconanmisleinsinac | conf: cannot assess
[p44] score 0.00 | verdict: confunsalanmtrisuleinsinac | conf: HIMLGEcannot assess
[p45] score 0.00 | verdict: inftrue | conf: HIGH
[p46] score 0.00 | verdict: notconfal atranminisse | conf: HIMLGEcannot assess
[p47] score 0.00 | verdict: funsutralconaninsinaccurate | conf: cannot assess
[p48] score 0.00 | verdict: confinanalaccurate | conf: cannot assess
[p49] score 0.00 | verdict: notconf apanal discrepinaccurate | conf: HIMEcanDILUM
[p50] score 0.00 | verdict: notconfan aunsalupported | conf: HIMEcanDILUM
mean verdict score: 0.000 accuracy@0.5: 0.00 format rate: 1.00
by category:
generic mean 0.000 n=50
=== probes_researcher ===
== eval ckpt/tiny18m2/model_8500.pt ==
[verdict-00] score 0.00 | verdict: cmpfixed | conf: cannot assess
[verdict-01] score 0.00 | verdict: funcsupmintrue | conf: cannot assess
[verdict-02] score 0.00 | verdict: cmpfixed | conf: cannot assess
[verdict-03] score 0.00 | verdict: funcspanminislealse | conf: canLHIGH
[verdict-04] score 0.00 | verdict: funcspanuppinmislealse | conf: canLHIGH
[verdict-05] score 0.00 | verdict: funscintmpanislerue | conf: cannot assess
[discrepancy-06] score 0.00 | verdict: funcspanmintrue | conf: canLHIGH
[discrepancy-07] score 0.00 | verdict: funcspanuppinmislealse | conf: canLHIGH
[discrepancy-08] score 0.00 | verdict: funcsupmintrue | conf: canLHIGH
[discrepancy-09] score 0.00 | verdict: funcsuppinpanmixed | conf: cannot assess
[pattern-10] score 0.00 | verdict: cmpfintrue | conf: canLHIGH
[pattern-11] score 0.00 | verdict: cminpanfixed | conf: cannot assess
[pattern-12] score 0.00 | verdict: miscpinfixed | conf: cannot assess
[safety-13] score 0.00 | verdict: parttmincisleranfunsuacc | conf: canLHIGH
[safety-14] score 0.00 | verdict: mincpanfunsuacconisletr | conf: cannot assess
[safety-15] score 0.00 | verdict: partminctrue | conf: canLHIGH
[safety-16] score 0.00 | verdict: funcspanmintrue | conf: cHIGH
[selfcheck-17] score 0.00 | verdict: cmpfunsuppintrue | conf: canLHIGH
[selfcheck-18] score 0.00 | verdict: notminpisconfixed | conf: cannot assess
[symbolism-19] score 0.00 | verdict: funcsuppinpanmislealse | conf: cannot assess
[symbolism-20] score 0.00 | verdict: partminctrue | conf: canLHIGH
[symbolism-21] score 0.00 | verdict: punscinmislefixed | conf: cannot assess
[symbolism-22] score 0.00 | verdict: cmpfunsuppintrue | conf: canLHIGH
[gap-23] score 0.00 | verdict: cmpfixintrue | conf: canLHIGH
[gap-24] score 0.00 | verdict: cmpfixinanislealse | conf: cannot assess
[gap-25] score 0.00 | verdict: funpartsubmincanislealse | conf: cannot assess
[gap-26] score 0.00 | verdict: funcspaninmisleupponixed | conf: cLHIGH
mean verdict score: 0.000 accuracy@0.5: 0.00 format rate: 1.00
by category:
discrepancy mean 0.000 n=4
gap mean 0.000 n=4
pattern mean 0.000 n=3
safety mean 0.000 n=4
selfcheck mean 0.000 n=2
symbolism mean 0.000 n=4
verdict mean 0.000 n=6
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