Binary-Addition-LLM-POC

1
license:apache-2.0
by
PhysiQuanty
Language Model
OTHER
2B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
5GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM

Code Examples

Vocab (size = 8)pythontransformers
from transformers import AutoModelForCausalLM

m = AutoModelForCausalLM.from_pretrained(
    "PhysiQuanty/Binary-Calculator-LLM-POC",
    trust_remote_code=True,
)
m.eval()
Example outputtext
[Seed] 1011554894
[Device] cuda
[Model] loaded from PhysiQuanty/Binary-Calculator-LLM-POC | vocab_size=8
[Prompt Origin] prompt_int="20,68" (t0,t1=0,0)
[Prompt IDs] len=27 first32=[2, 0, 0, 4, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 5, 4, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 5]

[Generated RAW IDS]
[6, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 7, 3]

[Generated RAW IDS (as digits)]
600001011000760000000100073

[PrintInt] First BOR..EOR
[PrintInt] pos=27 nbits=11 bits=00001011000 int=88

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