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README.md

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+---
+base_model:
+- MrezaPRZ/codestral_high_quality_sft_bigquery
+- MrezaPRZ/codestral_high_quality_sft_postgres
+- mistralai/Codestral-22B-v0.1
+- MrezaPRZ/codestral_high_quality_sft
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# date_ties
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [MrezaPRZ/codestral_high_quality_sft_bigquery](https://huggingface.co/MrezaPRZ/codestral_high_quality_sft_bigquery)
+* [MrezaPRZ/codestral_high_quality_sft_postgres](https://huggingface.co/MrezaPRZ/codestral_high_quality_sft_postgres)
+* [MrezaPRZ/codestral_high_quality_sft](https://huggingface.co/MrezaPRZ/codestral_high_quality_sft)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: MrezaPRZ/codestral_high_quality_sft
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: MrezaPRZ/codestral_high_quality_sft_bigquery
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: MrezaPRZ/codestral_high_quality_sft_postgres
+    parameters:
+      density: 0.4
+      weight: 0.2
+merge_method: dare_ties
+base_model: mistralai/Codestral-22B-v0.1
+parameters:
+  normalize: true
+dtype: bfloat16
+```

config.json

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+{
+  "_name_or_path": "mistralai/Codestral-22B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32768
+}

mergekit_config.yml

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+models:
+  - model: MrezaPRZ/codestral_high_quality_sft
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: MrezaPRZ/codestral_high_quality_sft_bigquery
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: MrezaPRZ/codestral_high_quality_sft_postgres
+    parameters:
+      density: 0.4
+      weight: 0.2
+merge_method: dare_ties
+base_model: mistralai/Codestral-22B-v0.1
+parameters:
+  normalize: true
+dtype: bfloat16

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