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  1. README.md +63 -0
  2. config.json +29 -0
  3. mergekit_config.yml +17 -0
  4. model-00001-of-00036.safetensors +3 -0
  5. model-00002-of-00036.safetensors +3 -0
  6. model-00003-of-00036.safetensors +3 -0
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  9. model-00006-of-00036.safetensors +3 -0
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  11. model-00008-of-00036.safetensors +3 -0
  12. model-00009-of-00036.safetensors +3 -0
  13. model-00010-of-00036.safetensors +3 -0
  14. model-00011-of-00036.safetensors +3 -0
  15. model-00012-of-00036.safetensors +3 -0
  16. model-00013-of-00036.safetensors +3 -0
  17. model-00014-of-00036.safetensors +3 -0
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  21. model-00018-of-00036.safetensors +3 -0
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  25. model-00022-of-00036.safetensors +3 -0
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  27. model-00024-of-00036.safetensors +3 -0
  28. model-00025-of-00036.safetensors +3 -0
  29. model-00026-of-00036.safetensors +3 -0
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  38. model-00035-of-00036.safetensors +3 -0
  39. model-00036-of-00036.safetensors +3 -0
  40. model.safetensors.index.json +1 -0
  41. special_tokens_map.json +30 -0
  42. tokenizer.json +0 -0
  43. tokenizer.model +3 -0
  44. tokenizer_config.json +43 -0
README.md ADDED
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+ ---
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - jondurbin/bagel-dpo-34b-v0.2
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+ - abacusai/MetaMath-Bagel-DPO-34B
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+ base_model:
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+ - jondurbin/bagel-dpo-34b-v0.2
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+ - abacusai/MetaMath-Bagel-DPO-34B
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+ ---
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+
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+ # Pearl-34B-ties
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+
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+ Pearl-34B-ties is a merge of the following models:
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+ * [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
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+ * [abacusai/MetaMath-Bagel-DPO-34B](https://huggingface.co/abacusai/MetaMath-Bagel-DPO-34B)
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+
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+ ## Configuration
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+
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+ ```yaml
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+ models:
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+ - model: abacusai/Smaug-34B-v0.1
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+ - model: jondurbin/bagel-dpo-34b-v0.2
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+ parameters:
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+ density: 0.45
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+ weight: 0.5
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+ - model: abacusai/MetaMath-Bagel-DPO-34B
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+ parameters:
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+ density: 0.48
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: abacusai/Smaug-34B-v0.1
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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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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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "louisbrulenaudet/Pearl-34B-ties"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "abacusai/Smaug-34B-v0.1",
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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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+ "hidden_act": "silu",
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+ "hidden_size": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 200000,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 60,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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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": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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+ models:
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+ - model: abacusai/Smaug-34B-v0.1
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+ - model: jondurbin/bagel-dpo-34b-v0.2
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+ parameters:
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+ density: 0.45
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+ weight: 0.5
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+ - model: abacusai/MetaMath-Bagel-DPO-34B
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+ parameters:
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+ density: 0.48
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: abacusai/Smaug-34B-v0.1
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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