Training in progress, step 4
Browse files- .gitattributes +1 -0
- README.md +58 -0
- added_tokens.json +3 -0
- chat_template.jinja +47 -0
- config.json +125 -0
- generation_config.json +14 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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| 2 |
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base_model: google/gemma-3-27b-it
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library_name: transformers
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model_name: batch-test-2
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tags:
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- generated_from_trainer
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- sft
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- trl
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licence: license
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---
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# Model Card for batch-test-2
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This model is a fine-tuned version of [google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="joelniklaus/batch-test-2", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.26.2
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- Transformers: 4.57.3
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- Pytorch: 2.6.0+cu124
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- Datasets: 4.4.2
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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| 53 |
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year = 2020,
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| 54 |
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journal = {GitHub repository},
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| 55 |
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publisher = {GitHub},
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| 56 |
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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added_tokens.json
ADDED
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{
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"<image_soft_token>": 262144
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}
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chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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| 3 |
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{%- if messages[0]['content'] is string -%}
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| 4 |
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{%- set first_user_prefix = messages[0]['content'] + '
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| 5 |
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| 6 |
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' -%}
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| 7 |
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{%- else -%}
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| 8 |
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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| 9 |
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| 10 |
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' -%}
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| 11 |
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{%- endif -%}
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| 12 |
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{%- set loop_messages = messages[1:] -%}
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| 13 |
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{%- else -%}
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| 14 |
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{%- set first_user_prefix = "" -%}
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| 15 |
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{%- set loop_messages = messages -%}
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| 16 |
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{%- endif -%}
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| 17 |
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{%- for message in loop_messages -%}
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| 18 |
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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| 21 |
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{%- if (message['role'] == 'assistant') -%}
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| 22 |
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{%- set role = "model" -%}
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| 23 |
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{%- else -%}
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| 24 |
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{%- set role = message['role'] -%}
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| 25 |
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{%- endif -%}
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| 26 |
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{{ '<start_of_turn>' + role + '
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| 27 |
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' + (first_user_prefix if loop.first else "") }}
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| 28 |
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{%- if message['content'] is string -%}
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| 29 |
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{{ message['content'] | trim }}
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| 30 |
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{%- elif message['content'] is iterable -%}
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| 31 |
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{%- for item in message['content'] -%}
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| 32 |
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{%- if item['type'] == 'image' -%}
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| 33 |
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{{ '<start_of_image>' }}
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| 34 |
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{%- elif item['type'] == 'text' -%}
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| 35 |
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{{ item['text'] | trim }}
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| 36 |
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{%- endif -%}
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| 37 |
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{%- endfor -%}
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| 38 |
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{%- else -%}
|
| 39 |
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{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
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{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
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{%- endfor -%}
|
| 44 |
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{%- if add_generation_prompt -%}
|
| 45 |
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{{'<start_of_turn>model
|
| 46 |
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'}}
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| 47 |
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{%- endif -%}
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config.json
ADDED
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{
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| 2 |
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"architectures": [
|
| 3 |
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"Gemma3ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
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"boi_token_index": 255999,
|
| 6 |
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"bos_token_id": 2,
|
| 7 |
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"dtype": "bfloat16",
|
| 8 |
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"eoi_token_index": 256000,
|
| 9 |
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"eos_token_id": 1,
|
| 10 |
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"image_token_index": 262144,
|
| 11 |
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"initializer_range": 0.02,
|
| 12 |
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"mm_tokens_per_image": 256,
|
| 13 |
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"model_type": "gemma3",
|
| 14 |
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"pad_token_id": 0,
|
| 15 |
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"text_config": {
|
| 16 |
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"_sliding_window_pattern": 6,
|
| 17 |
+
"attention_bias": false,
|
| 18 |
+
"attention_dropout": 0.0,
|
| 19 |
+
"attn_logit_softcapping": null,
|
| 20 |
+
"dtype": "bfloat16",
|
| 21 |
+
"final_logit_softcapping": null,
|
| 22 |
+
"head_dim": 128,
|
| 23 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 24 |
+
"hidden_size": 5376,
|
| 25 |
+
"initializer_range": 0.02,
|
| 26 |
+
"intermediate_size": 21504,
|
| 27 |
+
"layer_types": [
|
| 28 |
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"sliding_attention",
|
| 29 |
+
"sliding_attention",
|
| 30 |
+
"sliding_attention",
|
| 31 |
+
"sliding_attention",
|
| 32 |
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"sliding_attention",
|
| 33 |
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"full_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"sliding_attention",
|
| 36 |
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"sliding_attention",
|
| 37 |
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"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
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"full_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"sliding_attention",
|
| 42 |
+
"sliding_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"sliding_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"sliding_attention",
|
| 54 |
+
"sliding_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
+
"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
+
"sliding_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
+
"sliding_attention",
|
| 73 |
+
"sliding_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"full_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"sliding_attention",
|
| 78 |
+
"sliding_attention",
|
| 79 |
+
"sliding_attention",
|
| 80 |
+
"sliding_attention",
|
| 81 |
+
"full_attention",
|
| 82 |
+
"sliding_attention",
|
| 83 |
+
"sliding_attention",
|
| 84 |
+
"sliding_attention",
|
| 85 |
+
"sliding_attention",
|
| 86 |
+
"sliding_attention",
|
| 87 |
+
"full_attention",
|
| 88 |
+
"sliding_attention",
|
| 89 |
+
"sliding_attention"
|
| 90 |
+
],
|
| 91 |
+
"max_position_embeddings": 131072,
|
| 92 |
+
"model_type": "gemma3_text",
|
| 93 |
+
"num_attention_heads": 32,
|
| 94 |
+
"num_hidden_layers": 62,
|
| 95 |
+
"num_key_value_heads": 16,
|
| 96 |
+
"query_pre_attn_scalar": 168,
|
| 97 |
+
"rms_norm_eps": 1e-06,
|
| 98 |
+
"rope_local_base_freq": 10000.0,
|
| 99 |
+
"rope_scaling": {
|
| 100 |
+
"factor": 8.0,
|
| 101 |
+
"rope_type": "linear"
|
| 102 |
+
},
|
| 103 |
+
"rope_theta": 1000000.0,
|
| 104 |
+
"sliding_window": 1024,
|
| 105 |
+
"use_bidirectional_attention": false,
|
| 106 |
+
"use_cache": true,
|
| 107 |
+
"vocab_size": 262208
|
| 108 |
+
},
|
| 109 |
+
"transformers_version": "4.57.3",
|
| 110 |
+
"vision_config": {
|
| 111 |
+
"attention_dropout": 0.0,
|
| 112 |
+
"dtype": "bfloat16",
|
| 113 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 114 |
+
"hidden_size": 1152,
|
| 115 |
+
"image_size": 896,
|
| 116 |
+
"intermediate_size": 4304,
|
| 117 |
+
"layer_norm_eps": 1e-06,
|
| 118 |
+
"model_type": "siglip_vision_model",
|
| 119 |
+
"num_attention_heads": 16,
|
| 120 |
+
"num_channels": 3,
|
| 121 |
+
"num_hidden_layers": 27,
|
| 122 |
+
"patch_size": 14,
|
| 123 |
+
"vision_use_head": false
|
| 124 |
+
}
|
| 125 |
+
}
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generation_config.json
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{
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| 2 |
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"bos_token_id": 2,
|
| 3 |
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"cache_implementation": "hybrid",
|
| 4 |
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"do_sample": true,
|
| 5 |
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"eos_token_id": [
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| 6 |
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1,
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| 7 |
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1,
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| 8 |
+
106
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| 9 |
+
],
|
| 10 |
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"pad_token_id": 0,
|
| 11 |
+
"top_k": 64,
|
| 12 |
+
"top_p": 0.95,
|
| 13 |
+
"transformers_version": "4.57.3"
|
| 14 |
+
}
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model-00001-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
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special_tokens_map.json
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| 32 |
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| 33 |
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tokenizer.json
ADDED
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training_args.bin
ADDED
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