Merge branch 'main' of hf.co:tangledgroup/tangled-llama-q-128k-base-v0.1
Browse files
out/pretrain/final/config.json
ADDED
@@ -0,0 +1,22 @@
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{
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"_name_or_path": "tangledgroup/tangled-llama-33m-32k-base-v0.1",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_size": 1024,
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"intermediate_size": 4096,
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"max_position_embeddings": 38400,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 5,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 38400
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}
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out/pretrain/final/hyperparameters.yaml
ADDED
@@ -0,0 +1,68 @@
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model_name: Llama-3.2-1B
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model_config:
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name: ''
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hf_config: {}
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scale_embeddings: false
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block_size: 8192
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vocab_size: 38400
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padding_multiple: 512
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padded_vocab_size: 38400
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n_layer: 8
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n_head: 32
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head_size: 64
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n_embd: 512
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rotary_percentage: 1.0
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parallel_residual: false
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bias: false
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lm_head_bias: false
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n_query_groups: 8
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shared_attention_norm: false
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norm_class_name: RMSNorm
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post_attention_norm: false
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post_mlp_norm: false
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norm_eps: 1.0e-05
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mlp_class_name: LLaMAMLP
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gelu_approximate: none
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intermediate_size: 2048
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rope_condense_ratio: 1
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rope_base: 500000
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n_expert: 0
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n_expert_per_token: 0
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out_dir: ../out/pretrain
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precision: bf16-true
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resume: auto
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data:
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class_path: litgpt.data.LitData
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init_args:
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data_path: ../pretrain-data/
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seed: 42
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num_workers: 32
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train:
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save_interval: 200
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log_interval: 1
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global_batch_size: 512
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micro_batch_size: 15
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lr_warmup_steps: 2000
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max_tokens: 16698858240
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max_seq_length: 2049
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tie_embeddings: true
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max_norm: 1.0
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min_lr: 4.0e-05
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eval:
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interval: 100
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max_iters: 100
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initial_validation: false
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final_validation: true
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optimizer:
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class_path: grokadamw.GrokAdamW
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init_args:
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lr: 0.01
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weight_decay: 0.1
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betas:
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- 0.9
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- 0.95
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devices: auto
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num_nodes: 1
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tokenizer_dir: ..
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logger_name: wandb
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seed: 42
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out/pretrain/final/lit_model.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ab1c7faec574147b17651faf075301b882a786030717e38acf89935af2670d5
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size 526538850
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out/pretrain/final/model_config.yaml
ADDED
@@ -0,0 +1,34 @@
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attention_logit_softcapping: null
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attention_scores_scalar: null
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bias: false
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block_size: 8192
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final_logit_softcapping: null
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gelu_approximate: none
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head_size: 64
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hf_config: {}
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intermediate_size: 2048
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lm_head_bias: false
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mlp_class_name: LLaMAMLP
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n_embd: 512
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n_expert: 0
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n_expert_per_token: 0
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n_head: 32
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n_layer: 8
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n_query_groups: 8
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name: ''
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norm_class_name: RMSNorm
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norm_eps: 1.0e-05
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padded_vocab_size: 38400
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padding_multiple: 512
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parallel_residual: false
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post_attention_norm: false
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post_mlp_norm: false
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rope_adjustments: null
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rope_base: 500000
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rope_condense_ratio: 1
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rotary_percentage: 1.0
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scale_embeddings: false
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shared_attention_norm: false
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sliding_window_layer_placing: null
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sliding_window_size: null
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vocab_size: 38400
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out/pretrain/final/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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out/pretrain/final/tokenizer_config.json
ADDED
@@ -0,0 +1,1052 @@
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1 |
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2 |
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3 |
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4 |
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"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"unk_token": "<unk>"
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}
|