初始化项目，由ModelHub XC社区提供模型
Model: cjvt/GaMS-9B-Instruct-Lex Source: Original Platform
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Modelfile
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """<bos>{{ if .System }}{{ .System }}
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{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<start_of_turn>user
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{{ .Content }}<end_of_turn>
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<start_of_turn>model
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{{ else if eq .Role "assistant" }}{{ .Content }}<end_of_turn>
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{{ end }}{{ end }}"""
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PARAMETER stop "<eos>"
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PARAMETER stop "<end_of_turn>"
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PARAMETER num_ctx 4096
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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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- sl
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- en
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- hr
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- sr
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- bs
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base_model:
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- cjvt/GaMS-9B-Instruct
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pipeline_tag: text-generation
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---
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# Model Card for GaMS-9B-Instruct-Lex
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GaMS-9B-Instruct-Lex is a specialized instruction-tuned model for Slovene lexicographic tasks.
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It is based on [cjvt/GaMS-9B-Instruct](https://huggingface.co/cjvt/GaMS-9B-Instruct) and has been further fine-tuned on a large set of lexicographic question–answer pairs.
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The goal of this model is to improve the performance of large language models for Slovene lexicographic queries, such as definitions, synonyms, word forms, collocations, sense distinctions, and contextual usage.
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---
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## Acknowledgment
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The model was developed as part of the **LLM4DH** project and within the [PoVeJMo](https://www.cjvt.si/povejmo/en/project/) research program.
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The program is funded within the Recovery and Resilience Plan by the Slovenian Research and Innovation Agency (ARIS) and NextGenerationEU.
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We thank everyone who contributed to data collection and preparation, especially participants of the promptathon workshop and contributors of Slovene lexicographic resources.
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---
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## Basic information
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* **Developed by:** University of Ljubljana, Faculty of Computer and Information Science
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* **Project:** LLM4DH
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* **Languages:** Slovene (primary), English, Croatian, Bosnian, Serbian (secondary)
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* **Base model:** [cjvt/GaMS-9B-Instruct](https://huggingface.co/cjvt/GaMS-9B-Instruct)
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* **License:** [Gemma](https://ai.google.dev/gemma/terms)
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---
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## Lexicographic Fine-tuning Data
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To adapt GaMS-9B-Instruct to the lexicographic domain, we prepared a **specialized QA corpus** derived from Slovene lexical resources:
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* **Digitalna slovarska baza (DSB)**
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* **Bridge dictionary**
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* **Word sense disambiguation dataset**
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* **Slovene synonym dictionary**
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* **Open Slovene WordNet (OSWN)**
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Data sources for QA generation included:
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* Automatically generated questions and answers (word forms, definitions, synonyms, collocations, context-based sense analysis).
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* **ssj500k corpus** (for sentence-level word analysis questions).
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* **Promptathon workshop contributions** (25 manually created questions).
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* **Slovene Language Advisory Service** (3,698 unique real-world questions and answers).
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* GPT-4.1 was used to paraphrase and diversify auto-generated QA pairs, ensuring variety and naturalness.
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---
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## Training
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The model was fine-tuned on the lexicographic QA dataset using supervised instruction tuning.
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This adaptation enables GaMS-9B-Instruct-Lex to provide more precise and consistent answers to lexicographic and linguistic questions in Slovene.
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---
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## Usage
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You can load and run the model with Hugging Face `transformers`:
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```python
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from transformers import pipeline
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model_id = "cjvt/GaMS-9B-Instruct-Lex"
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pline = pipeline(
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"text-generation",
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model=model_id,
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device_map="auto"
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)
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# Example usage
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message = [{"role": "user", "content": "Kaj pomeni beseda 'drevo'?"}]
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response = pline(message, max_new_tokens=512)
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print("Model's response:", response[0]["generated_text"][-1]["content"])
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```
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---
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## Intended Use
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* Answering lexicographic questions about Slovene words.
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* Supporting research in computational lexicography and digital dictionaries.
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* Assisting language learners and linguists with Slovene word meanings, synonyms, collocations, and usage.
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---
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## Limitations
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* The model is optimized for **Slovene lexicographic tasks**; performance may vary in other domains or languages.
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* Automatically generated training data may contain occasional noise or inconsistencies.
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* The model may still produce incorrect or incomplete answers, especially for rare or highly context-dependent queries.
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chat_template.jinja
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' + message['content'] | trim + '<end_of_turn>
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' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
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'}}{% endif %}
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config.json
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"model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
41
special_tokens_map.json
Normal file
41
special_tokens_map.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<start_of_turn>",
|
||||
"<end_of_turn>",
|
||||
{
|
||||
"content": "<eos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<eos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"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 sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
|
||||
size 34362873
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
|
||||
size 4241003
|
||||
2016
tokenizer_config.json
Normal file
2016
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user