Initial release
Browse files- README.md +48 -1
- config.json +27 -0
- mergekit_config.yml +12 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +48 -0
README.md
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---
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---
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base_model:
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- grimjim/zephyr-beta-wizardLM-2-merge-7B
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- core-3/kuno-royale-v2-7b
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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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license: cc-by-nc-4.0
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---
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# zephyr-wizard-kuno-royale-BF16-merge-7B
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This is an experimental merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). All source model weights are BF16, avoiding issues arising from mixed-precision merges.
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Although the zephyr beta and WizardLM 2 7B models are touted as SOTA and can generate varied prose compared to base Mistral v0.1, their relatively mediocre benchmarks under GSM-8K suggests only average reasoning capability in one-shot narrative text completion. The kuno-royale-v2 model was selected for merger because of its higher GSM-8K rating.
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Native prompt format is Alpaca, although at least one of the prior models was fine-tuned to Vicuna.
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Tested lightly with ChatML instruct prompts, temperature 1, and minP 0.02.
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [grimjim/zephyr-beta-wizardLM-2-merge-7B](https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B)
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* [core-3/kuno-royale-v2-7b](https://huggingface.co/core-3/kuno-royale-v2-7b)
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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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slices:
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- sources:
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- model: grimjim/zephyr-beta-wizardLM-2-merge-7B
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layer_range: [0,32]
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- model: core-3/kuno-royale-v2-7b
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layer_range: [0,32]
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merge_method: slerp
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base_model: grimjim/zephyr-beta-wizardLM-2-merge-7B
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parameters:
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t:
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- value: 0.5
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "grimjim/zephyr-beta-wizardLM-2-merge-7B",
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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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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: grimjim/zephyr-beta-wizardLM-2-merge-7B
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layer_range: [0,32]
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- model: core-3/kuno-royale-v2-7b
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layer_range: [0,32]
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merge_method: slerp
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base_model: grimjim/zephyr-beta-wizardLM-2-merge-7B
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parameters:
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t:
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- value: 0.5
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dtype: bfloat16
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model-00001-of-00003.safetensors
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 493443
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tokenizer_config.json
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