Initial release
Browse files- .gitattributes +2 -0
- README.md +80 -0
- config.json +27 -0
- mergekit_config.yml +29 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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README.md
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---
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base_model:
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- grimjim/mistralai-Mistral-Nemo-Base-2407
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- grimjim/magnum-consolidatum-v1-12b
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- nbeerbower/Mistral-Nemo-Prism-12B
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- TheDrummer/Rocinante-12B-v1.1
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- grimjim/magnum-twilight-12b
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- grimjim/mistralai-Mistral-Nemo-Instruct-2407
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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# Magnolia-v3-12B
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This repo contains a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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This merge takes advantage of task arithmetic to incorporate the influence of two additional models at low weight in order to improve default creative outputs.
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Tested at temperature 1.0 with minP 0.01; that was it. Mistral prompt formats for Nemo should work, although I successfully tested with a variant:
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```
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User message prefix: [INST]user
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User message suffix: [/INST]
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Assistant message prefix: [INST]assistant
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Assistant message suffix: [/INST]
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```
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Testing with a blank sysprompt was not awful, though a good sysprompt will elicit more desired behavior.
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## Merge Details
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### Merge Method
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This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/mistralai-Mistral-Nemo-Base-2407](https://huggingface.co/grimjim/mistralai-Mistral-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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* [grimjim/magnum-consolidatum-v1-12b](https://huggingface.co/grimjim/magnum-consolidatum-v1-12b)
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* [nbeerbower/Mistral-Nemo-Prism-12B](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B)
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* [TheDrummer/Rocinante-12B-v1.1](https://huggingface.co/TheDrummer/Rocinante-12B-v1.1)
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* [grimjim/magnum-twilight-12b](https://huggingface.co/grimjim/magnum-twilight-12b)
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* [grimjim/mistralai-Mistral-Nemo-Instruct-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407)
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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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base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
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dtype: bfloat16
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merge_method: task_arithmetic
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parameters:
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normalize: true
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slices:
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- sources:
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- layer_range: [0, 40]
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model: grimjim/mistralai-Mistral-Nemo-Base-2407
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- layer_range: [0, 40]
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model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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parameters:
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weight: 0.9
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- layer_range: [0, 40]
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model: grimjim/magnum-consolidatum-v1-12b
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parameters:
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weight: 0.1
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- layer_range: [0, 40]
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model: grimjim/magnum-twilight-12b
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parameters:
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weight: 0.001
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- layer_range: [0, 40]
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model: TheDrummer/Rocinante-12B-v1.1
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parameters:
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weight: 0.001
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- layer_range: [0, 40]
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model: nbeerbower/Mistral-Nemo-Prism-12B
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parameters:
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weight: 0.05
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```
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config.json
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{
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"_name_or_path": "grimjim/mistralai-Mistral-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": 131072,
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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": "4.46.3",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_config.yml
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base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
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dtype: bfloat16
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merge_method: task_arithmetic
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parameters:
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normalize: true
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slices:
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- sources:
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- layer_range: [0, 40]
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9 |
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model: grimjim/mistralai-Mistral-Nemo-Base-2407
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- layer_range: [0, 40]
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model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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parameters:
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weight: 0.9
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- layer_range: [0, 40]
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model: grimjim/magnum-consolidatum-v1-12b
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parameters:
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weight: 0.1
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- layer_range: [0, 40]
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model: grimjim/magnum-twilight-12b
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parameters:
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weight: 0.001
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- layer_range: [0, 40]
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model: TheDrummer/Rocinante-12B-v1.1
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parameters:
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weight: 0.001
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- layer_range: [0, 40]
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model: nbeerbower/Mistral-Nemo-Prism-12B
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parameters:
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weight: 0.05
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
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size 17078292
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tokenizer_config.json
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