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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,31 @@
+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- jiayihao03/gemma_2b_code_python_4bit
+---
+
+# Marcoro14-7B-slerp
+
+Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [jiayihao03/gemma_2b_code_python_4bit](https://huggingface.co/jiayihao03/gemma_2b_code_python_4bit)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: unsloth/gemma-2b-bnb-4bit
+    # no parameters necessary for base model
+  - model: jiayihao03/gemma_2b_code_python_4bit
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: unsloth/gemma-2b-bnb-4bit
+parameters:
+  normalize: true
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "unsloth/gemma-2b-bnb-4bit",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 256000
+}

mergekit_config.yml

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+
+models:
+  - model: unsloth/gemma-2b-bnb-4bit
+    # no parameters necessary for base model
+  - model: jiayihao03/gemma_2b_code_python_4bit
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: unsloth/gemma-2b-bnb-4bit
+parameters:
+  normalize: true
+dtype: float16
+

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+}