intervitens
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Browse files- .gitattributes +7 -0
- README.md +56 -0
- internlm2-limarp-chat-20b.Q3_K_M.gguf +3 -0
- internlm2-limarp-chat-20b.Q4_K_M.gguf +3 -0
- internlm2-limarp-chat-20b.Q4_K_S.gguf +3 -0
- internlm2-limarp-chat-20b.Q5_K_M.gguf +3 -0
- internlm2-limarp-chat-20b.Q5_K_S.gguf +3 -0
- internlm2-limarp-chat-20b.Q6_K.gguf +3 -0
- internlm2-limarp-chat-20b.q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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internlm2-limarp-chat-20b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: [intervitens/internlm2-base-20b-llama]
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language:
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- en
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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: other
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datasets:
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- lemonilia/LimaRP
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---
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Experimental model, LimaRP LoRA trained on top of internlm2-base-20b with 8192 context length and merged with internlm2-chat-20b.
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Prompt format is ChatML.
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***
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# internlm2-06limarp-1chat-TASK_ARITHM-20b-v0.03
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using intervitens/internlm2-base-20b-llama 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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* ./internlm2-limarp-20b-v0.03
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* ./internlm2-chat-20b-llama
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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: ./internlm2-chat-20b-llama
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parameters:
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weight: 1.0
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- model: ./internlm2-limarp-20b-v0.03
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parameters:
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weight: 0.6
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merge_method: task_arithmetic
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base_model: ./internlm2-base-20b-llama
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parameters:
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#normalize: false
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#int8_mask: true
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dtype: bfloat16
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```
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