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Upload checkpoint after 524,288 tokens

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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ datasets:
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+ - nvidia/Nemotron-ClimbMix
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+ tags:
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+ - llama
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+ - causal-lm
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+ - pretraining
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+ - climbmix
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+ ---
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+
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+ # atrost/climbmix-llama-288m-2p8b-h100-save-test
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+
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+ Small Llama-style causal language model pretrained from scratch on `nvidia/Nemotron-ClimbMix`.
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+
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+ ## Training details
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+
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+ - Architecture: `LlamaForCausalLM`
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+ - Parameters: `288,554,240`
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+ - Context length: `2048`
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+ - Target tokens: `524,288`
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+ - Actual tokens: `524,288`
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+ - Tokens per optimizer step: `262,144`
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+ - Optimizer: AdamW
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+ - LR schedule: cosine decay with warmup
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+ - Precision: bfloat16
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+ - Intended hardware: 8x H100
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+
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+ ## Model config
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+
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+ The model was initialized from the config embedded in `train_climbmix_llama_ddp.py`.
config.json ADDED
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+ {
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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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+ "attention_dropout": 0.0,
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+ "bos_token_id": 50256,
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+ "dtype": "float32",
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+ "eos_token_id": 50256,
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+ "head_dim": 80,
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+ "hidden_act": "silu",
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+ "hidden_size": 1280,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3584,
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+ "max_position_embeddings": 2048,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 12,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 50256,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 10000.0,
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+ "rope_type": "default"
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+ },
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.7.0",
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+ "use_cache": true,
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+ "vocab_size": 50304
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+ }
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+ "transformers_version": "5.7.0",
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+ "use_cache": false
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+ }
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tokenizer.json ADDED
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+ {
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+ "add_prefix_space": false,
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+ "errors": "replace",
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+ }