Edit model card

arco lite

arco lite is a passthrough arco model based on danube outputs to keep generality, even though its performance decreased, it's stil competitive to qwen2 at most benchmarks, being mmlu the only reason why is better on average. Note, arco-lite is still un-trained, i'm expecting it to be better after some iterations.

benchmarks

zero-shot evaluations, as you can see is smarter than qwen but without world knowledge, so don't use it for tasks that need factual output.

Parameters Model MMLU ARC HellaSwag PIQA Winogrande Average
488m arco-lite 23.22 33.45 56.55 69.70 59.19 48.46
494m qwen2 44.13 28.92 49.05 69.31 56.99 49.68

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: appvoid/arco
      layer_range: [0, 14]
  - sources:
    - model: h2oai/h2o-danube3-500m-base
      layer_range: [15, 16]

merge_method: passthrough
dtype: float16
Downloads last month
17
Safetensors
Model size
488M params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for appvoid/arco-lite

Merge model
this model
Quantizations
1 model