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Model: elinas/Llama-3-15B-Instruct-zeroed
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama3
+---
+# Llama-3-15B-Instruct-zeroed
+
+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 passthrough merge method while zeroing `o_proj` and `down_proj` which led to an decrease in perplexity (good)
+compared to similar 15B merges. This was a recommendation from [Charles Goddard](https://huggingface.co/chargoddard) - thank you for sharing the method of merging as well as Toasty
+Pigeon for bringing it to my attention!
+
+## Finetuned Version
+A finetuned version of this model can be found at [elinas/Llama-3-15B-Instruct-zeroed-ft](https://huggingface.co/elinas/Llama-3-15B-Instruct-zeroed-ft) which seems to improve performance.
+
+### Models Merged
+
+The following models were included in the merge:
+* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [8, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [8, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [24, 32]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+```

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [8, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [8, 24]
+    model: meta-llama/Meta-Llama-3-8B-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [24, 32]
+    model: meta-llama/Meta-Llama-3-8B-Instruct

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}