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  1. README.md +51 -0
  2. config.json +35 -0
  3. generation_config.json +10 -0
  4. ml_sp.model +3 -0
  5. model.safetensors +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ # ak-lm-small
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+
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+ **Tiny pretrained Malayalam language model (75M parameters)**
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+
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+ Developed by **EnduraSolution**.
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+
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+ ## Overview
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+
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+ - GPT-style decoder-only Transformer
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+ - 75 Million parameters
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+ - Custom Malayalam SentencePiece tokenizer
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+ - Vocabulary: 24,000
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+ - Context length: 256
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+
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+ ## Training Data
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+
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+ - IndicCorp Malayalam
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+ - Malayalam Wikipedia
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+ - Kerala-focused corpus
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+ - Small English Wikipedia subset
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+
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+ ## Intended Uses
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+
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+ - Malayalam text generation
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+ - Text completion
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+ - Research
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+ - Fine-tuning
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+
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+ ## Limitations
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+
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+ This is a pretrained base model.
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+
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+ It is **not instruction tuned**.
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+
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+ ## Example
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+
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+ ```python
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+ from transformers import GPT2LMHeadModel
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+ import sentencepiece as spm
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+
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+ sp = spm.SentencePieceProcessor(model_file='ml_sp.model')
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+ model = GPT2LMHeadModel.from_pretrained('endurasolution/ak-lm-small')
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+ ```
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+
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+ ## License
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+
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+ Apache-2.0
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+
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+ ---
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+
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+ Made with ❤️ by EnduraSolution
config.json ADDED
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+ {
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+ "activation_function": "gelu_new",
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "eos_token_id": 2,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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+ "n_ctx": 256,
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+ "n_embd": 768,
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+ "n_head": 12,
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+ "n_inner": null,
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+ "n_layer": 8,
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+ "n_positions": 256,
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+ "pad_token_id": 3,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.12.1",
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+ "use_cache": false,
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+ "vocab_size": 24000
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+ }
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+ "pad_token_id": 3,
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+ "transformers_version": "5.12.1",
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+ "use_cache": true
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+ }
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