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README.md

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+---
+base_model:
+- 152334H/miqu-1-70b-sf
+- lizpreciatior/lzlv_70b_fp16_hf
+language:
+- en
+- de
+- fr
+- es
+- it
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+# miquliath-120b
+
+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).
+
+Inspired by [goliath-120b](https://huggingface.co/alpindale/goliath-120b).
+
+## Prompt template: Mistral
+
+```
+<s>[INST] {prompt} [/INST]
+```
+
+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/)
+
+## Model Details
+
+* Max Context: 32768 tokens
+* Layers: 137
+
+## Merge Details
+
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
+* [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [8, 24]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [17, 32]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [25, 40]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [33, 48]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [41, 56]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [49, 64]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [57, 72]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [65, 80]
+    model: 152334H/miqu-1-70b-sf
+```
+
+## Credits & Special Thanks
+
+* 1st model:
+  * original (unreleased) model: [mistralai (Mistral AI_)](https://huggingface.co/mistralai)
+  * leaked model: [miqudev/miqu-1-70b](https://huggingface.co/miqudev/miqu-1-70b)
+  * f16 model: [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
+* 2nd model: [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)
+* mergekit: [arcee-ai/mergekit: Tools for merging pretrained large language models.](https://github.com/arcee-ai/mergekit)
+* mergekit_config.yml: [alpindale/goliath-120b](https://huggingface.co/alpindale/goliath-120b)
+
+### Support
+
+* [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!
+
+#### 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

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+{
+  "_name_or_path": "152334H/miqu-1-70b-sf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 137,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [8, 24]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [17, 32]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [25, 40]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [33, 48]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [41, 56]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [49, 64]
+    model: 152334H/miqu-1-70b-sf
+- sources:
+  - layer_range: [57, 72]
+    model: lizpreciatior/lzlv_70b_fp16_hf
+- sources:
+  - layer_range: [65, 80]
+    model: 152334H/miqu-1-70b-sf

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special_tokens_map.json

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+}

tokenizer.model

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+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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