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model_info:
name: anemll-WeiboAI-VibeThinker-1.5B-ctx2048
version: 0.3.5
description: 'Demonstarates running WeiboAI-VibeThinker-1.5B on Apple Neural Engine
Context length: 2048
Batch size: 64
Chunks: 4
'
license: MIT
author: Anemll
framework: Core ML
language: Python
architecture: qwen2
parameters:
context_length: 2048
batch_size: 64
lut_embeddings: none
lut_ffn: 6
lut_ffn_per_channel: 4
lut_lmhead: 6
lut_lmhead_per_channel: 4
num_chunks: 4
model_prefix: qwen25
embeddings: qwen25_embeddings.mlmodelc
lm_head: qwen25_lm_head_lut6.mlmodelc
ffn: qwen25_FFN_PF_lut6_chunk_01of04.mlmodelc
split_lm_head: 16
vocab_size: 151936
lm_head_chunk_sizes:
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
- 9496
prefill_dynamic_slice: true
argmax_in_model: false
recommended_sampling:
do_sample: true
temperature: 0.6
top_p: 0.95
top_k: 0