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add model files

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ *.gguf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,49 @@
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ base_model:
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+ - yam-peleg/Experiment26-7B
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+ - nbeerbower/flammen2
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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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  ---
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+ # flammen3
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+
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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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+ Quantized to GGUF-Q4_K_M using [llama.cpp](https://github.com/ggerganov/llama.cpp).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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+ * [nbeerbower/flammen2](https://huggingface.co/nbeerbower/flammen2)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: nbeerbower/flammen2
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+ layer_range: [0, 32]
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+ - model: yam-peleg/Experiment26-7B
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: nbeerbower/flammen2
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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+
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+ ```
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+ "_name_or_path": "nbeerbower/flammen2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ "model_type": "mistral",
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ url: https://huggingface.co/nbeerbower/flammen3
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+ branch: main
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+ download date: 2024-03-07 13:03:45
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+ sha256sum:
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