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Browse files- README.md +102 -3
- config.json +38 -0
- huggingface-metadata.txt +9 -0
- measurement.json +0 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model: []
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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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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6550b16f7490049d6237f200/Hj686vH4WgD7ILybOQObi.jpeg)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6550b16f7490049d6237f200/qC-j_gzwjykZGbkLUq2PH.png)
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# The best one so far out of all the Nemomixes. Use this one.
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## Information
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### Description
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My main goal is to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This one seems to be the best out of all, so far. All credits and thanks go to Intervitens, Mistralai, Invisietch, and NeverSleep for providing amazing models used in the merge.
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### Instruct
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Mistral Instruct.
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```
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<s>[INST] {system} [/INST] {assistant}</s>[INST] {user} [/INST]
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```
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### Settings
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Lower Temperature of 0.35 recommended, although I had luck with Temperatures above one (1.0-1.2) if you crank up the Min P (0.01-0.1). Run with base DRY of 0.8/1.75/2/0 and you're good to go.
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### Presets
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You can use my custom context/instruct/parameters presets for the model from here.
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https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main
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### GGUF
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https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B-GGUF
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### Other Versions
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V1: https://huggingface.co/MarinaraSpaghetti/Nemomix-v1.0-12B
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V2: https://huggingface.co/MarinaraSpaghetti/Nemomix-v2.0-12B
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V3: https://huggingface.co/MarinaraSpaghetti/Nemomix-v3.0-12B
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V4: https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B
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# Nemomix-v0.4-12B
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the della_linear merge method using F:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.
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### Models Merged
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The following models were included in the merge:
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* F:\mergekit\intervitens_mini-magnum-12b-v1.1
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* F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
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* F:\mergekit\invisietch_Atlantis-v0.1-12B
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* F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
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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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models:
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- model: F:\mergekit\invisietch_Atlantis-v0.1-12B
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parameters:
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weight: 0.16
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density: 0.4
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- model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
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parameters:
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weight: 0.23
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density: 0.5
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- model: F:\mergekit\NeverSleepHistorical_lumi-nemo-e2.0
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parameters:
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weight: 0.27
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density: 0.6
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- model: F:\mergekit\intervitens_mini-magnum-12b-v1.1
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parameters:
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weight: 0.34
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density: 0.8
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merge_method: della_linear
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base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
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parameters:
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epsilon: 0.05
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lambda: 1
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int8_mask: true
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dtype: bfloat16
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```
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## Ko-fi
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### Enjoying what I do? Consider donating here, thank you!
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https://ko-fi.com/spicy_marinara
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config.json
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{
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"_name_or_path": "F:\\mergekit\\mistralaiMistral-Nemo-Base-2407",
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"architectures": [
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"MistralForCausalLM"
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],
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.3",
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"use_cache": true,
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"vocab_size": 131072,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.1.8",
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"bits": 6.0,
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"head_bits": 8,
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"calibration": {
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"rows": 115,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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huggingface-metadata.txt
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url: https://huggingface.co/MarinaraSpaghetti/Nemomix-v4.0-12B
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branch: main
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download date: 2024-08-16 19:52:07
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sha256sum:
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02f420a8c5912368bf22fbf8bde38e606fc16f292862eaa7b719da9f8525b9a5 model-00001-of-00005.safetensors
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0d1ff3da309b5375b4f292a0ff73f757d05dcef5fe32e209fdb3401d846c1451 model-00002-of-00005.safetensors
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3a4ebe2648786db6554cc511954f6d68b43287b082ce0ce4de2bcb10a1bed77c model-00003-of-00005.safetensors
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0736360431acb6f66a5c236da37407d76f87f00ecf5c57802ae957f5a86c4125 model-00004-of-00005.safetensors
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bd59c839a0311d8a9d92511600f73120c59b867f4d04bb2087daab3b0f4be4d4 model-00005-of-00005.safetensors
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measurement.json
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model.safetensors.index.json
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