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README.md ADDED
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+ ---
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+ base_model:
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+ - 152334H/miqu-1-70b-sf
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+ - lizpreciatior/lzlv_70b_fp16_hf
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - es
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+ - it
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ ---
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+ # miquliz-120b
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/RFEW_K0ABp3k_N3j02Ki4.jpeg)
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+
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+ - GGUF: [wolfram/miquliz-120b-GGUF](https://huggingface.co/wolfram/miquliz-120b-GGUF)
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+
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+ This is a 120b frankenmerge created by interleaving layers of [miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) with [lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf) using [mergekit](https://github.com/cg123/mergekit).
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+
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+ Inspired by [goliath-120b](https://huggingface.co/alpindale/goliath-120b).
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+
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+ Thanks for the support, [CopilotKit](https://github.com/CopilotKit/CopilotKit) - the open-source platform for building in-app AI Copilots into any product, with any LLM model. Check out their GitHub.
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+
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+ ## Prompt template: Mistral
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+
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+ ```
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+ <s>[INST] {prompt} [/INST]
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+ ```
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+
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+ See also: [🐺🐦‍⬛ LLM Prompt Format Comparison/Test: Mixtral 8x7B Instruct with **17** different instruct templates : LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/comments/18ljvxb/llm_prompt_format_comparisontest_mixtral_8x7b/)
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+
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+ ## Model Details
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+
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+ - Max Context: 32768 tokens
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+ - Layers: 137
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+
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+ ## Merge Details
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+
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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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+
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+ - [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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+ - [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)
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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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+ 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, 16]
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+ model: 152334H/miqu-1-70b-sf
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+ - sources:
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+ - layer_range: [8, 24]
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+ model: lizpreciatior/lzlv_70b_fp16_hf
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+ - sources:
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+ - layer_range: [17, 32]
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+ model: 152334H/miqu-1-70b-sf
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+ - sources:
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+ - layer_range: [25, 40]
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+ model: lizpreciatior/lzlv_70b_fp16_hf
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+ - sources:
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+ - layer_range: [33, 48]
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+ model: 152334H/miqu-1-70b-sf
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+ - sources:
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+ - layer_range: [41, 56]
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+ model: lizpreciatior/lzlv_70b_fp16_hf
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+ - sources:
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+ - layer_range: [49, 64]
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+ model: 152334H/miqu-1-70b-sf
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+ - sources:
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+ - layer_range: [57, 72]
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+ model: lizpreciatior/lzlv_70b_fp16_hf
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+ - sources:
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+ - layer_range: [65, 80]
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+ model: 152334H/miqu-1-70b-sf
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+ ```
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+
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+ ## Credits & Special Thanks
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+
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+ - 1st model:
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+ - original (unreleased) model: [mistralai (Mistral AI_)](https://huggingface.co/mistralai)
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+ - leaked model: [miqudev/miqu-1-70b](https://huggingface.co/miqudev/miqu-1-70b)
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+ - f16 model: [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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+ - 2nd model: [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)
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+ - mergekit: [arcee-ai/mergekit: Tools for merging pretrained large language models.](https://github.com/arcee-ai/mergekit)
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+ - mergekit_config.yml: [alpindale/goliath-120b](https://huggingface.co/alpindale/goliath-120b)
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+
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+ ### Support
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+
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+ - [My Ko-fi page](https://ko-fi.com/wolframravenwolf) if you'd like to tip me to say thanks or request specific models to be tested or merged with priority. Also consider supporting your favorite model creators, quantizers, or frontend/backend devs if you can afford to do so. They deserve it!
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+
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+ #### DISCLAIMER: THIS IS [BASED ON A LEAKED ASSET](https://huggingface.co/miqudev/miqu-1-70b/discussions/10) AND HAS NO LICENSE ASSOCIATED WITH IT. USE AT YOUR OWN RISK.
config.json ADDED
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+ {
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+ "_name_or_path": "152334H/miqu-1-70b-sf",
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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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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 28672,
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+ "max_position_embeddings": 32768,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 137,
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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": 1000000,
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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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+ }
huggingface-metadata.txt ADDED
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+ url: https://huggingface.co/wolfram/miquliz-120b
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+ branch: main
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+ download date: 2024-02-06 09:54:59
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