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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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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ base_model:
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ - Venkman42/Phiter
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+ ---
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+
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+ # Phitor
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+
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+ Phitor is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+ * [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ dtype: float16
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+ merge_method: passthrough
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+ slices:
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+ - sources:
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+ - layer_range: [0, 4]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [2, 6]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [4, 8]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [6, 10]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [8, 12]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [10, 14]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [12, 16]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [14, 18]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [16, 20]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [18, 22]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [20, 24]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [22, 26]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [24, 28]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [26, 30]
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+ model: Venkman42/Phiter
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+ - sources:
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+ - layer_range: [28, 32]
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+ model: Venkman42/Phiter
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+
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+
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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 = "Venkman42/Phitor"
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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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+ ```
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "Venkman42/Phiter",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "PhiForCausalLM"
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+ ],
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+ "attn_pdrop": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "mixedbread-ai/phi-2--configuration_phi.PhiConfig",
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+ "AutoModelForCausalLM": "mixedbread-ai/phi-2--modeling_phi.PhiForCausalLM"
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+ },
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+ "embd_pdrop": 0.0,
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+ "flash_attn": false,
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+ "flash_rotary": false,
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+ "fused_dense": false,
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+ "img_processor": null,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "phi-msft",
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+ "n_embd": 2560,
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+ "n_head": 32,
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+ "n_head_kv": null,
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+ "n_inner": null,
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+ "n_layer": 60,
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+ "n_positions": 2048,
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+ "resid_pdrop": 0.1,
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+ "rotary_dim": 32,
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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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+ "vocab_size": 51200
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+ }
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merges.txt ADDED
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