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+ Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
README.md CHANGED
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  ---
 
 
 
 
 
 
 
 
 
 
 
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  license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ base_model:
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+ - meta-llama/Meta-Llama-3-8B-Instruct
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+ library_name: transformers
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+ tags:
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+ - meta
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+ - llama-3
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+ - pytorch
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+ - mergekit
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+ - merge
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  license: llama3
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+ license_link: LICENSE
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+ pipeline_tag: text-generation
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+ widget:
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+ - example_title: Hello
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+ messages:
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+ - role: user
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+ content: Hey my name is Corwin! How are you?
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+ - example_title: Hellriding out of Amber
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+ messages:
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+ - role: system
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+ content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
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+ - role: user
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+ content: Can you recommend a good destination for a hellride out of Amber?
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+ inference:
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+ parameters:
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+ max_new_tokens: 300
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+ stop:
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+ - <|end_of_text|>
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+ - <|eot_id|>
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  ---
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+ # llama-3-experiment-v1-9B-GGUF
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+
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+ This is an experimental merge, replicating additional layers to the model without post-merge healing. There is damage to the model, but it appears to be tolerable as is. The resulting impact on narrative text completion may be of interest.
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+
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+ Light testing performed with ChatML instruct prompting and sampler settings:
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+ - temp=1 and minP=0.02
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+ - temp=1 and smoothing factor=0.33
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+
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+ Full weights: [grimjim/llama-3-experiment-v1-9B](https://huggingface.co/grimjim/llama-3-experiment-v1-9B)
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+
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+ GGUF quants: [grimjim/llama-3-experiment-v1-9B-GGUF](https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF)
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+
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+ This is a merge of pre-trained language model meta-llama/Meta-Llama-3-8B-Instruct created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ Built with Meta Llama 3.
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the passthrough merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * meta-llama/Meta-Llama-3-8B-Instruct
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: meta-llama/Meta-Llama-3-8B-Instruct
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+ layer_range: [0, 12]
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+ - sources:
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+ - model: meta-llama/Meta-Llama-3-8B-Instruct
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+ layer_range: [8, 32]
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+ merge_method: passthrough
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+ dtype: bfloat16
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+
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+ ```
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+ {
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+ "_name_or_path": "C:./text-generation-webui/models/meta-llama_Meta-Llama-3-8B-Instruct",
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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": 128000,
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+ "eos_token_id": 128001,
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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": 8192,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 36,
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+ "num_key_value_heads": 8,
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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": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.1",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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