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README.md CHANGED
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ tags:
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+ - merge
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+ - mergekit
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ base_model:
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ - brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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  ---
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+
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+ # VA-Etheria-55b
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+
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+ VA-Etheria-55b is a merge of the following models using
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+ * [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ dtype: bfloat16
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+ slices:
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [0, 14]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [7, 21]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [15, 29]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [22, 36]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [30, 44]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [37, 51]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [45, 59]
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+ merge_method: passthrough
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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 = "steelskull/VA-Etheria-55b"
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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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+ {
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+ "_name_or_path": "brucethemoose/Yi-34B-200K-DARE-megamerge-v8",
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+ "architectures": [
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+ "LlamaForCausalLM"
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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": 98,
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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": "4.37.1",
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+ "use_cache": true,
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+ "vocab_size": 64002
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+ }
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+ dtype: bfloat16
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+ slices:
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [0, 14]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [7, 21]
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+ - sources:
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+ layer_range: [15, 29]
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+ - sources:
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+ - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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+ layer_range: [45, 59]
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+ merge_method: passthrough
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