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Browse files- README.md +98 -0
- config.json +38 -0
- mergekit_config.yml +27 -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/p0ZBFYc1RNoYcowv3Nj40.jpeg)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6550b16f7490049d6237f200/peSTK513q1WOfRfRzWga4.png)
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# Information
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## Details
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Improved NemoRemix for storytelling and roleplay. Plus, this one can also be used as a general assistant model. The prose is pretty much the same, but it was made smarter, thanks to the addition of the amazing Migtissera's Tess model. I yeeted out Gryphe's Pantheon-RP, though, because it was trained with asterisks in mind, unlike the rest of the models in the merge, which caused it to mess the formatting from time to time; this one doesn't do that anymore. Hooray! All credits and thanks go to the amazing Migtissera, MistralAI, Anthracite, Sao10K and ShuttleAI for their amazing models.
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## Instruct
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ChatML but Mistral Instruct should work too (theoretically).
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```
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<|im_start|>system
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{system}<|im_end|>
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<|im_start|>user
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{message}<|im_end|>
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<|im_start|>assistant
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{response}<|im_end|>
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```
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## Parameters
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I recommend running Temperature 1.0-1.2 with 0.1 Top A or 0.01-0.1 Min P, and with 0.8/1.75/2/0 DRY. Also works with lower Temperatures below 1.0. Nothing more needed.
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### Settings
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You can use my exact settings from here (use the ones from the ChatML Base/Customized folder): https://huggingface.co/MarinaraSpaghetti/SillyTavern-Settings/tree/main.
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## GGUF
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https://huggingface.co/MarinaraSpaghetti/NemoReRemix-GGUF
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# NemoReRemix-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 E:\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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* E:\mergekit\Sao10K_MN-12B-Lyra-v1
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* E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
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* E:\mergekit\migtissera_Tess-3-Mistral-Nemo
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* E:\mergekit\shuttleai_shuttle-2.5-mini
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* E:\mergekit\anthracite-org_magnum-12b-v2
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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: E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
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parameters:
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weight: 0.1
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density: 0.4
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- model: E:\mergekit\Sao10K_MN-12B-Lyra-v1
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parameters:
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weight: 0.12
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density: 0.5
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- model: E:\mergekit\shuttleai_shuttle-2.5-mini
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parameters:
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weight: 0.2
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density: 0.6
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- model: E:\mergekit\migtissera_Tess-3-Mistral-Nemo
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parameters:
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weight: 0.25
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density: 0.7
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- model: E:\mergekit\anthracite-org_magnum-12b-v2
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parameters:
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weight: 0.33
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density: 0.8
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merge_method: della_linear
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base_model: E:\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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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": "E:\\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": "4.44.0",
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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": "0.1.7",
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"bits": 5.0,
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"head_bits": 6,
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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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mergekit_config.yml
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models:
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- model: E:\mergekit\mistralaiMistral-Nemo-Instruct-2407
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parameters:
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weight: 0.1
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density: 0.4
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- model: E:\mergekit\Sao10K_MN-12B-Lyra-v1
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parameters:
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weight: 0.12
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density: 0.5
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- model: E:\mergekit\shuttleai_shuttle-2.5-mini
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parameters:
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weight: 0.2
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density: 0.6
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- model: E:\mergekit\migtissera_Tess-3-Mistral-Nemo
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parameters:
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weight: 0.25
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density: 0.7
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- model: E:\mergekit\anthracite-org_magnum-12b-v2
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parameters:
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weight: 0.33
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density: 0.8
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merge_method: della_linear
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base_model: E:\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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dtype: bfloat16
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4.4", "total_size": 24495564800}, "weight_map": {"lm_head.weight": "model-00001-of-00005.safetensors", "model.embed_tokens.weight": "model-00001-of-00005.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00005.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00005.safetensors", 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