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llammchen_1b

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README.md ADDED
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+ ---
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+ datasets:
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+ - togethercomputer/RedPajama-Data-V2
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+ language:
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+ - de
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+ ---
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+
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+ # LLäMMchen 1B
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+
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+ This is a German Tinyllama 1B language model trained from scratch using the
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+ the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German portion of [RedPajama V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2).
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+
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+
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+ ### Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/llammchen_1b")
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+
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+ tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/llammchen_1b")
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+ ```
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+
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+
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+ ### Evaluation
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+ We evaluated our results on the [Superkleber](https://lsx-uniwue.github.io/SuperGLEBer-site/) benchmark.
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+
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+
config.json ADDED
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+ {
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+ "_name_or_path": "/data/42-julia-hpc-rz-lsx/s386162/models/formatted/iter-1430512-ckpt",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.35.0"
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+ }
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+ {
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+ "unk_token": "<unk>"
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "1": {
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+ "legacy": false,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "padding_side": "right",
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+ "sp_model_kwargs": {},
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": true
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+ }