LoneStriker
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Upload folder using huggingface_hub
Browse files- README.md +105 -0
- config.json +29 -0
- huggingface-metadata.txt +29 -0
- mergekit_config.yml +30 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00006.safetensors +3 -0
- output-00002-of-00006.safetensors +3 -0
- output-00003-of-00006.safetensors +3 -0
- output-00004-of-00006.safetensors +3 -0
- output-00005-of-00006.safetensors +3 -0
- output-00006-of-00006.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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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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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/RFEW_K0ABp3k_N3j02Ki4.jpeg)
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- GGUF: [wolfram/miquliz-120b-GGUF](https://huggingface.co/wolfram/miquliz-120b-GGUF)
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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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Inspired by [goliath-120b](https://huggingface.co/alpindale/goliath-120b).
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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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## Prompt template: Mistral
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```
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<s>[INST] {prompt} [/INST]
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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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## Model Details
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- Max Context: 32768 tokens
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- Layers: 137
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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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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### Configuration
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The following YAML configuration was used to produce this model:
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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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## Credits & Special Thanks
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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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### Support
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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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#### 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.
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config.json
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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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"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": 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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}
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huggingface-metadata.txt
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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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sha256sum:
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fe13efa5f166aec87fabd4363d3fbb133703564a9c67a59b6ee256e58d104651 model-00002-of-00024.safetensors
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7391b9032e38dd9da313ca2cd1503d6e006182097fa71fe4a45ae6bd09abdcb4 model-00003-of-00024.safetensors
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570d30dfae043bb4483141ce1a8c419917e722183a6c61f0499a7e7afcaaa246 model-00004-of-00024.safetensors
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9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 tokenizer.model
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mergekit_config.yml
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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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model.safetensors.index.json
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|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|