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Model: soynade-research/Oolel-Corrector Source: Original Platform
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117
README.md
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README.md
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---
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license: agpl-3.0
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datasets:
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- soynade-research/Wolof-Non-Standard-Orthography
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language:
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- wo
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base_model:
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- soynade-research/Oolel-Small-v0.1
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tags:
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- wolof
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- orthography
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- text-normalization
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- fine-tuned
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- causal-lm
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pipeline_tag: text-generation
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---
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# Wolof-Spelling-Corrector
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A fine-tuned version of [Oolel-Small-v0.1](https://huggingface.co/soynade-research/Oolel-Small-v0.1) trained to convert informal, social-media Wolof into standard orthography.
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Wolof is primarily an oral language and most speakers are not formally taught the written standard.
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Text on platforms like YouTube, WhatsApp, or Facebook is spelled phonetically, heavily influenced by French orthographic conventions,
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and frequently mixes Wolof with French or English.
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This means that raw social-media data is essentially unusable for training or evaluating NLP systems without a normalization step.
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This model converts informal Wolof text into formal standard orthography while leaving code-switched French and English segments untouched.
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# Usage
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## 1. HuggingFace pipeline
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```python
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from transformers import pipeline
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import torch
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pipe = pipeline(
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"text-generation",
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model="soynade-research/Oolel-Corrector",
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dtype=torch.bfloat16,
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device_map="auto"
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)
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input = "Normalize this text: Kou guem ni biss dina niew nga am dom bou goor toude ko seydina mouhamat rek lalal bouton j'aime"
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messages = [{"role": "user", "content": input}]
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result = pipe(
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messages,
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max_new_tokens=512,
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)
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print(result[0]["generated_text"][-1]["content"])
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# Ku gëm ni bés dina ñëw nga am doom bu góor tudde ko Seydina Muhamed rekk laalal butoŋ j'aime.
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```
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## 1. With AutoModel for more control
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You can this with system prompts when you want to control the model's behaviour more explicitly, for example to enforce specific output formatting or language instructions.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_name = "soynade-research/Oolel-Corrector"
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device = "cuda"
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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dtype=torch.bfloat16,
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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SYSTEM_PROMPT = (
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"Fix the orthography of this Wolof social media text. "
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"Apply standard rules: correct vowels with diacritics, restore geminates, fix French-influenced spellings. "
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"Keep mixed French/English as-is. Reply only with <CORRECTION>corrected text</CORRECTION>."
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)
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def correct(text, system_prompt=SYSTEM_PROMPT, max_new_tokens=512, temperature=0.1):
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": text}
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]
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prompt = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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inputs = tokenizer([prompt], return_tensors="pt").to(device)
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generated_ids = model.generate(
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inputs.input_ids,
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max_new_tokens=max_new_tokens,
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temperature=temperature
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)
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generated_ids = [
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output[len(inp):]
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for inp, output in zip(inputs.input_ids, generated_ids)
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]
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return tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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text = "man mom khawma sakh li loumou done. Niom gneup dem naniou dakar ngir vacances scolaires yi"
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print(correct(text))
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# <CORRECTION>Man moom xawma sax li lu mu doon. Ñoom ñépp dem nañu Dakar ngir vacances scolaires yi.</CORRECTION>
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```
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# Where could you use Oolel-Corrector:
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- **Dataset creation and cleaning.** Raw Wolof social-media corpora can be normalized at scale before being used for downstream training, annotation, or evaluation.
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- **Processing Layer.** Any pipeline that operates on Wolof text: sentiment analysis, topic classification, machine translation will perform more
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consistently on standardized input. This model can serve as a preprocessing step.
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- **Keyboard and writing tools.** Integrated into a mobile or web interface, the model can suggest standardized spelling to users writing in Wolof, helping close the gap between informal and standard written usage.
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## Limitations
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- **Correction only.** This model normalizes orthography, it does not translate. If you want to convert informal spoken-style Wolof directly into French or English, you need to pair this model with a translation model: normalize first, then translate.
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added_tokens.json
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added_tokens.json
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{
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"</tool_call>": 151658,
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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58
config.json
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config.json
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{
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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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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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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": true,
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"transformers_version": "4.57.6",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.57.6"
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}
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151388
merges.txt
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151388
merges.txt
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model.safetensors
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model.safetensors
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3
optimizer.pt
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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rng_state.pth
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3
rng_state.pth
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3
scheduler.pt
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3
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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31
special_tokens_map.json
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31
special_tokens_map.json
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{
|
||||
"additional_special_tokens": [
|
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"<|im_start|>",
|
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"<|im_end|>",
|
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"<|object_ref_start|>",
|
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"<|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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|
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|
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"<|vision_end|>",
|
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"<|vision_pad|>",
|
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"<|image_pad|>",
|
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"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
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3
tokenizer.json
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
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207
tokenizer_config.json
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tokenizer_config.json
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||||
{
|
||||
"add_bos_token": false,
|
||||
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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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|
||||
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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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"special": true
|
||||
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|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
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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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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1154
trainer_state.json
Normal file
1154
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0e343ed66ebabb0911100b9aa0971f6d892248a205512754edf6ee35bd9b1f02
|
||||
size 7313
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user