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Klyra-64M-Instruct
is the first instruction-tuned checkpoint in the Klyra-64M family.
It starts from
Klyra-64M-Midtrain
and was fine-tuned on filtered
HuggingFaceTB/smol-smoltalk
data using assistant-only loss.
SFT
Train examples:
226,049
Eval examples:
992
Epochs: 2
Context length: 1,024
Precision: BF16
Final validation:
Loss:
0.9828
Perplexity:
2.672
Benchmark
ARC-Easy
PIQA
OpenBookQA
HellaSwag
Social-IQA
Mean
32.74
57.94
28.80
28.33
35.31
36.63
Intended Use
Use this checkpoint as the general instruction-tuned Klyra baseline or as a parent for downstream post-training experiments.
About Klyra
Klyra-64M is a compact language-model research project initiated and developed by a student of
Informatics Engineering at Politeknik Negeri Jakarta (State Polytechnic of Jakarta)
.
The model uses a MiniMind-compatible decoder-only architecture and was trained through a staged pipeline from random initialization.
Parameter note:
Klyra uses tied input/output embeddings at runtime. Some exported
safetensors
files may contain both
model.embed_tokens.weight
and
lm_head.weight
as separate serialized tensors. The intended runtime model has
63,912,192 unique parameters
after weight tying.
Runs of Jahirrrr Klyra-64M-Instruct on huggingface.co
259
Total runs
0
24-hour runs
0
3-day runs
18
7-day runs
101
30-day runs
More Information About Klyra-64M-Instruct huggingface.co Model
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Jahirrrr Klyra-64M-Instruct online free url in huggingface.co:
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