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kunal732/QwenReader
QwenReader is a text generation model from kunal732. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
Downloads · 30 days
11
2% of all-time downloads
All-time downloads
690
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1.5B
3.1 GB on disk
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.safetensors3.1 GB · 99%
From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Qwen/Qwen2-1.5B
layer_range: [0, 28] # Covering all 28 layers (0 to 27)
- model: jinaai/ReaderLM-v2
layer_range: [0, 28] # Ensure this model has a similar layer structure
merge_method: slerp
base_model: Qwen/Qwen2-1.5B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # Fallback for any tensors not covered by the filters
dtype: bfloat16 # Or float16, depending on your preference and model dtype