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Llama-2-7b-ultrachat200k-pruned_50

Text Generation
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  1. arc_challenge_25shot_bs16_bf16.json +25 -0
  2. config.json +28 -0
  3. generation_config.json +6 -0
  4. gsm8k_5shot_bs16_bf16.json +23 -0
  5. hellaswag_10shot_bs16_bf16.json +25 -0
  6. mmlu_5shot_bs4_bf16.json +417 -0
  7. pytorch_model-00001-of-00003.bin +3 -0
  8. pytorch_model-00002-of-00003.bin +3 -0
  9. pytorch_model-00003-of-00003.bin +3 -0
  10. pytorch_model.bin.index.json +298 -0
  11. special_tokens_map.json +23 -0
  12. tokenizer.json +0 -0
  13. tokenizer.model +3 -0
  14. tokenizer_config.json +41 -0
  15. truthfulqa_mc_0shot_bs16_bf16.json +25 -0
  16. winogrande_5shot_bs16_bf16.json +23 -0
arc_challenge_25shot_bs16_bf16.json ADDED
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+ {
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+ "versions": {
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+ "config": {
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+ "model": "sparseml",
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+ "model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse50_45B_retrained/ultrachat200k/llama2_7B_45B_sparse50_LR2e-4_GC2_E2/training,dtype=bfloat16",
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+ "num_fewshot": 25,
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+ "batch_size": "16",
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+ "batch_sizes": [],
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+ "device": "cuda:1",
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+ "no_cache": true,
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+ "limit": null,
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+ "bootstrap_iters": 100000,
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+ "description_dict": {}
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+ }
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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": 1,
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+ "eos_token_id": 2,
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+ "transformers_version": "1.7.0.20240308",
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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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gsm8k_5shot_bs16_bf16.json ADDED
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+ {
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+ "config": {
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+ "model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse50_45B_retrained/ultrachat200k/llama2_7B_45B_sparse50_LR2e-4_GC2_E2/training,dtype=bfloat16",
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hellaswag_10shot_bs16_bf16.json ADDED
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mmlu_5shot_bs4_bf16.json ADDED
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+ "batch_sizes": [],
17
+ "device": "cuda:2",
18
+ "no_cache": true,
19
+ "limit": null,
20
+ "bootstrap_iters": 100000,
21
+ "description_dict": {}
22
+ }
23
+ }