Delta-Vector
commited on
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +99 -0
- config.json +30 -0
- mergekit_config.yml +63 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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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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base_model:
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- NewEden/nemo-erebus
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- nbeerbower/mistral-nemo-gutenberg-12B-v4
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- grimjim/mistralai-Mistral-Nemo-Instruct-2407
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- nbeerbower/mistral-nemo-bophades-12B
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- TheDrummer/UnslopNemo-12B-v4.1
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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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# merge
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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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## Merge Details
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### Merge Method
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This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NewEden/nemo-erebus](https://huggingface.co/NewEden/nemo-erebus) 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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* [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4)
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* [grimjim/mistralai-Mistral-Nemo-Instruct-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407)
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* [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B)
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* [TheDrummer/UnslopNemo-12B-v4.1](https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1)
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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: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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parameters:
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density: 0.2
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weight: 0.23
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- model: nbeerbower/mistral-nemo-bophades-12B
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parameters:
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density: 0.2
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weight: 0.43
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- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
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parameters:
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density: 0.2
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weight: 0.43
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- model: TheDrummer/UnslopNemo-12B-v4.1
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parameters:
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density: 0.5
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weight: 0.63
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merge_method: task_arithmetic
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base_model: NewEden/nemo-erebus
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parameters:
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normalize: false
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int8_mask: true
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dtype: bfloat16
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layer_parameters:
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- range: [0, 10]
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density_multiplier: 1.2
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- range: [10, 20]
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density_multiplier: 1.0
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- range: [20, 30]
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density_multiplier: 0.8
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- range: [30, 40]
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density_multiplier: 0.6
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regularization:
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- method: gradient_penalty
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scale: 0.05
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- method: weight_clipping
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clip_range: [-0.2, 0.2]
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- method: random_noise
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scale: 0.01
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- method: attention_dropout
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scale: 0.1
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postprocessing:
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- operation: entropy_regularization
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scale: 0.05
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- operation: non_linear_scaling
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parameters:
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function: tanh
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- operation: sharpening
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intensity: 0.5
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- operation: gaussian_smoothing
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sigma: 1.5
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- operation: normalize
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- operation: dynamic_scaling
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scale_range: [0.8, 1.2]
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- operation: smoothing
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parameters:
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adaptive: true
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range: [0.85, 1.15]
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kernel_size: 5
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```
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config.json
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{
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"_name_or_path": "NewEden/nemo-erebus",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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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": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"pad_token_id": 10,
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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": "4.46.2",
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"unsloth_version": "2024.12.9",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_config.yml
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models:
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- model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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3 |
+
parameters:
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density: 0.2
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weight: 0.23
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+
- model: nbeerbower/mistral-nemo-bophades-12B
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+
parameters:
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density: 0.2
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+
weight: 0.43
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+
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
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+
parameters:
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density: 0.2
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+
weight: 0.43
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+
- model: TheDrummer/UnslopNemo-12B-v4.1
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parameters:
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density: 0.5
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weight: 0.63
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merge_method: task_arithmetic
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base_model: NewEden/nemo-erebus
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parameters:
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normalize: false
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int8_mask: true
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dtype: bfloat16
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+
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layer_parameters:
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- range: [0, 10]
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density_multiplier: 1.2
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+
- range: [10, 20]
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density_multiplier: 1.0
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+
- range: [20, 30]
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+
density_multiplier: 0.8
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+
- range: [30, 40]
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density_multiplier: 0.6
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+
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+
regularization:
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+
- method: gradient_penalty
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+
scale: 0.05
|
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+
- method: weight_clipping
|
40 |
+
clip_range: [-0.2, 0.2]
|
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+
- method: random_noise
|
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+
scale: 0.01
|
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+
- method: attention_dropout
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+
scale: 0.1
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+
|
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+
postprocessing:
|
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+
- operation: entropy_regularization
|
48 |
+
scale: 0.05
|
49 |
+
- operation: non_linear_scaling
|
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+
parameters:
|
51 |
+
function: tanh
|
52 |
+
- operation: sharpening
|
53 |
+
intensity: 0.5
|
54 |
+
- operation: gaussian_smoothing
|
55 |
+
sigma: 1.5
|
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+
- operation: normalize
|
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+
- operation: dynamic_scaling
|
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+
scale_range: [0.8, 1.2]
|
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+
- operation: smoothing
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+
parameters:
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+
adaptive: true
|
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+
range: [0.85, 1.15]
|
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+
kernel_size: 5
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model-00001-of-00005.safetensors
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"single_word": false
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},
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"eos_token": {
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"pad_token": {
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"single_word": false
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"unk_token": {
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"single_word": false
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
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size 17078292
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tokenizer_config.json
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