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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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+ - louisbrulenaudet/Pearl-7B-slerp
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+ - WizardLM/WizardMath-7B-V1.1
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+ - cognitivecomputations/WestLake-7B-v2-laser
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+ - CultriX/NeuralTrix-7B-dpo
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+ base_model:
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+ - louisbrulenaudet/Pearl-7B-slerp
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+ - WizardLM/WizardMath-7B-V1.1
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+ - cognitivecomputations/WestLake-7B-v2-laser
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+ - CultriX/NeuralTrix-7B-dpo
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+ ---
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+
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+ # Pearl-7B-0210-ties
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+
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+ Pearl-7B-0210-ties is a merge of the following models:
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+ * [louisbrulenaudet/Pearl-7B-slerp](https://huggingface.co/louisbrulenaudet/Pearl-7B-slerp)
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+ * [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
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+ * [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser)
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+ * [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo)
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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: OpenPipe/mistral-ft-optimized-1227
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+ - model: louisbrulenaudet/Pearl-7B-slerp
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+ parameters:
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+ density: 0.5
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+ weight: 0.4
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+ - model: WizardLM/WizardMath-7B-V1.1
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: cognitivecomputations/WestLake-7B-v2-laser
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: CultriX/NeuralTrix-7B-dpo
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ merge_method: ties
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+ base_model: OpenPipe/mistral-ft-optimized-1227
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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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-7B-0210-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": "OpenPipe/mistral-ft-optimized-1227",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ models:
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+ - model: OpenPipe/mistral-ft-optimized-1227
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+ - model: louisbrulenaudet/Pearl-7B-slerp
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+ parameters:
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+ density: 0.5
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+ weight: 0.4
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+ - model: WizardLM/WizardMath-7B-V1.1
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: cognitivecomputations/WestLake-7B-v2-laser
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: CultriX/NeuralTrix-7B-dpo
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ merge_method: ties
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+ base_model: OpenPipe/mistral-ft-optimized-1227
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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