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Model: cjvt/GaMS-9B-Instruct-Nemotron Source: Original Platform
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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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base_model:
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- cjvt/GaMS-9B-Instruct
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datasets:
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- nvidia/Nemotron-Post-Training-Dataset-v1
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- cjvt/GaMS-Nemotron-Chat
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pipeline_tag: text-generation
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---
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# Model Card for GaMS-9B-Instruct-Nemotron
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**GaMS-9B-Instruct-Nemotron** is a variant of GaMS-9B-Instruct, further trained with supervised fine-tuning (SFT) on a curated subset of the `chat` part of [*nvidia/Nemotron-Post-Training-Dataset-v1*](https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1).
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The training data included \~80k Slovenian instruction–response pairs (based on translations with additional modifications to adjust identity and context) and \~20k English examples.
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This instruction tuned version of GaMS 9B was developed as part of a master thesis project by Timotej Petrič. Further details will follow.
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## Acknowledgment
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The model was developed within the [PoVeJMo](https://www.cjvt.si/povejmo/en/project/) research program (Adaptive Natural Language Processing with Large Language Models), particularly within the research project titled SloLLaMai -- Open-access computationally efficient models for Slovenian. The program is funded within the Recovery and Resilience Plan by the Slovenian Research and Innovation Agency (ARIS) and NextGenerationEU. The authors also acknowledge the financial support from the Slovenian Research and Innovation Agency (research core funding No. P6-0411 -- Language Resources and Technologies for Slovene).
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## Usage
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The model can be run through `pipeline` API using the following code:
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```python
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from transformers import pipeline
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model_id = "GaMS-Beta/GaMS-9B-Instruct-Nemotron"
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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="cuda" # replace with "mps" to run on a Mac device
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)
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# Example of response generation
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message = [{"role": "user", "content": f"Pozdravljen. Kdo si?"}]
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response = pline(message, max_new_tokens=512)
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print("Slovene translation:", response[0]["generated_text"][-1]["content"])
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```
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chat_template.jinja
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{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
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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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"_name_or_path": "GaMS-Beta/GaMS-9B-Instruct-Nemotron",
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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34
special_tokens_map.json
Normal file
34
special_tokens_map.json
Normal file
@@ -0,0 +1,34 @@
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|
||||
"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
|
||||
2013
tokenizer_config.json
Normal file
2013
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user