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Browse files- README.md +49 -0
- config.json +28 -0
- mergekit_config.yml +16 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
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- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# EVA-Tissint-v1.2-14B
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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New merge of [EVA v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2), now using [Tissint v1.2](https://huggingface.co/Ttimofeyka/Tissint-14B-v1.2-128k-RP). I slightly altered the merge parameters yet again, I wonder how this will go for other people.
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I recommend the samplers provided on Tissint's model card.
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### Merge Method
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This model was merged using the della_linear merge method using EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 as a base.
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### Models Merged
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The following models were included in the merge:
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* Ttimofeyka/Tissint-14B-v1.2-128k-RP
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: Ttimofeyka/Tissint-14B-v1.2-128k-RP
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parameters:
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density: 0.45
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weight: 0.35
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- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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parameters:
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density: 0.55
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weight: 0.65
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merge_method: della_linear
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base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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parameters:
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epsilon: 0.05
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lambda: 1
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "/home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 131072,
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"max_window_layers": 48,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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mergekit_config.yml
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models:
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- model: /home/ciaran/Documents/Quantisingmodels/Tissint-14B-v1.2-128k-RP/
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parameters:
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density: 0.45
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weight: 0.35
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- model: /home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/
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parameters:
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density: 0.55
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weight: 0.65
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merge_method: della_linear
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base_model: /home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/
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parameters:
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epsilon: 0.05
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lambda: 1
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dtype: bfloat16
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special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
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{
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"additional_special_tokens": [
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"<|im_start|>",
|
4 |
+
"<|im_end|>",
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5 |
+
"<|object_ref_start|>",
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6 |
+
"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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+
"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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+
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|
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"eos_token": {
|
18 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"rstrip": false,
|
29 |
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"single_word": false
|
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}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
@@ -0,0 +1,207 @@
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{
|
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|
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|
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|
5 |
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|
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|
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|
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|
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|
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|
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|
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|
66 |
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|
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|
68 |
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},
|
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|
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|
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|
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|
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|
77 |
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|
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|
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|
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|
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|
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|
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|
84 |
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|
85 |
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|
86 |
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"content": "<|vision_end|>",
|
87 |
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|
88 |
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|
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|
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|
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|
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|
118 |
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"content": "<tool_call>",
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|
124 |
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|
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128 |
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|
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|
142 |
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|
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|
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|
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|
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|
148 |
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|
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|
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|
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|
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|
158 |
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|
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|
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|
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|
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|
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|
181 |
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|
182 |
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|
183 |
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|
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],
|
197 |
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|
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
199 |
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|
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|
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|
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|
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|
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|
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|
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}
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