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Model: Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v2 Source: Original Platform
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.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.BF16.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.BF16-mmproj.gguf filter=lfs diff=lfs merge=lfs -text
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gemma-3-4b-it-roleplay-tuned-v2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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license: gemma
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language:
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- en
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base_model:
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- google/gemma-3-4b-it
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base_model_relation: finetune
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pipeline_tag: text-generation
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tags:
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- rp
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- roleplay
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- writer
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- finetune
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- creative
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- experimental
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- lora
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new_version: Indexnusrefather/Super-Slop-Machina-XXL-v0.1-4B
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---
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# What is it?
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This is my further improvement of my previous gemma 3 4b it finetune, trained on way bigger amounts of unique data(17M tokens), which resulted in way better writing, bringing the model closer to how 8b and even 12b models write, at times.
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# Details:
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## Advantages:
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* Way better writing than the base model, less slop and enhanced creativity
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* keeps good track of the story
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* Small, runs fast
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* Better understanding of complex emotional topics
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## Disadvantages:
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* 4b model has limited logic, this tune forces all of this logic to work in order to provide the best creative writing possible
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# A word on the quants for this model:
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* BF16- Mostly overkill, however, highest quality
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* Q8_0- Amazing quality, near lossless
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* Q6_K- High quality, fast
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* Q5_K_M- Mid to high quality, small and fast
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* Q4_K_M- Mid quality, very small and very fast
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Quants are located in the repo, along with safetensors
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# What I will do next and is v3 possible?
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Next I will probably turn my attention back to smaller models, like Qwen 3.5 2b and LFM 1.2b. I also may train a new version on an even bigger dataset, but it might result in overfitting, overall, this model is the peak performance for a 4b model, or at least the best I could do. working with it wasnt easy, but I did my best and feel satisfied with the results.
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PS:(Honestly, I wasted too much time on that, there will soon be a WN9 in Limbus so I probably will finetune less)
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added_tokens.json
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added_tokens.json
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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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chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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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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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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config.json
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config.json
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{
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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"boi_token_index": 255999,
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"bos_token_id": 2,
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"torch_dtype": "bfloat16",
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"eoi_token_index": 256000,
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"eos_token_id": 106,
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"image_token_index": 262144,
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"initializer_range": 0.02,
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"mm_tokens_per_image": 256,
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"model_name": "unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
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"model_type": "gemma3",
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"pad_token_id": 0,
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"text_config": {
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"_sliding_window_pattern": 6,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"cache_implementation": "hybrid",
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"torch_dtype": "bfloat16",
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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],
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"max_position_embeddings": 131072,
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"model_type": "gemma3_text",
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"num_attention_heads": 8,
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"num_hidden_layers": 34,
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"num_key_value_heads": 4,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_local_base_freq": 10000.0,
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"rope_scaling": {
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"factor": 8.0,
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"rope_type": "linear"
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},
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"sliding_window": 1024,
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"sliding_window_pattern": 6,
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"use_bidirectional_attention": false,
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"use_cache": false,
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"vocab_size": 262208
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},
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"unsloth_fixed": true,
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"unsloth_version": "2026.6.8",
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"vision_config": {
|
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"attention_dropout": 0.0,
|
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"torch_dtype": "bfloat16",
|
||||
"hidden_act": "gelu_pytorch_tanh",
|
||||
"hidden_size": 1152,
|
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"image_size": 896,
|
||||
"intermediate_size": 4304,
|
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"layer_norm_eps": 1e-06,
|
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"model_type": "siglip_vision_model",
|
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"num_attention_heads": 16,
|
||||
"num_channels": 3,
|
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"num_hidden_layers": 27,
|
||||
"patch_size": 14,
|
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"vision_use_head": false
|
||||
}
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}
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29
preprocessor_config.json
Normal file
29
preprocessor_config.json
Normal file
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|
||||
0.5
|
||||
],
|
||||
"pan_and_scan_max_num_crops": null,
|
||||
"pan_and_scan_min_crop_size": null,
|
||||
"pan_and_scan_min_ratio_to_activate": null,
|
||||
"processor_class": "Gemma3Processor",
|
||||
"resample": 2,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"size": {
|
||||
"height": 896,
|
||||
"width": 896
|
||||
}
|
||||
}
|
||||
4
processor_config.json
Normal file
4
processor_config.json
Normal file
@@ -0,0 +1,4 @@
|
||||
{
|
||||
"image_seq_length": 256,
|
||||
"processor_class": "Gemma3Processor"
|
||||
}
|
||||
33
special_tokens_map.json
Normal file
33
special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"boi_token": "<start_of_image>",
|
||||
"bos_token": {
|
||||
"content": "<bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eoi_token": "<end_of_image>",
|
||||
"eos_token": {
|
||||
"content": "<end_of_turn>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"image_token": "<image_soft_token>",
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
||||
size 33384568
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
||||
size 4689074
|
||||
51347
tokenizer_config.json
Normal file
51347
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user