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tini

Commit History

Reimplement EOT weighting
093a557
Running
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Ruurd commited on

Change red highlighting for debugging
150f6e1
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Add MASK slider
a86f3af
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Changed to bidirectional
7d7b6d7
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Visualize noising
09a7f62
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Update app.py
7287d81
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Fix MASK token noising
a73a13e
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Remove unnecessary print statements - Add MASK noising
ea86b58
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Changed model from tini_bi_m to tini_bi
4cd194e
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Turn autocast back on
b6cb410
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Try different monkey-patch
932e0b0
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Monkey-patch (temporarily) for LoRA layers
b36c7a9
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Remove autocast
526493a
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Change model
bd6e2e6
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New masking implementation
7141e39
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Clamp logits BEFORE softmax
7ec3bd7
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Set to bidirectional for debugging
04f0876
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Set to unidirectional for debugging
57e6bce
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Remove single ]
b3de773
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Safe sampling
dc427d9
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Deal with float values
a721355
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Make attention mask float
8851563
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Update llama_diffusion_model.py
238c8f8
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Create safe fallback for models not yet initialized with masking_type
f2ca6a6
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Overhaul code for appropriate masking for full model instead of just attention layers
b43e862
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Fix attention_weights referenced before assigned bug
22370b2
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Implement improved attention masking for bidirectional_masked
1723639
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Fix noise_start to always start at 1.0
5213031
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Remove erroneous indent
02eb393
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Fix pause at start
fc90b53
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Fix initial noise display
9cf2e5c
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Fix initial noise display
19c039a
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Fix initial noise display
93d53bc
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Show initial noise
77e752d
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Fix input_ids instead of current_tokens for first noise iteration
74479ff
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Use updated settings for initial and clustered noise
02f6e21
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Add noise start
034cffe
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Add comma
1394a1e
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Add pause length
8cb5f7a
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Update app.py
0ffa4b5
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Update requirements.txt
939752c
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Change LoRA size from 256 to 512, also back to bidirectional_masked
620a6cd
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Changed back to bidirectional attention
e237f80
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Try out bidirectional_masked prediction
0daaccf

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Show red highlighting before actual noising
a7ab71d

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Fix
8e98890

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Fix generation
b41f4d7

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Fix generation
a494446

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Fix red higlighting
9756472

Ruurd commited on

Fix red highlighting
d29da35

Ruurd commited on