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README.md

@@ -1,3 +1,54 @@
 ---
-license: mit
+base_model: []
+tags:
+- mergekit
+- merge
+
 ---
+# BigCodeLLama LFG 🚀
+
+## Experimental CodeLlaMA frankenstein to see how it benchmarks
+
+### Models Merged
+
+The following models were included in the merge:
+* ../CodeLlama-70b-hf
+* ../CodeLlama-70b-Instruct-hf
+* ../CodeLlama-70b-Python-hf
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 69]
+    model:
+      model:
+        path: ../CodeLlama-70b-hf
+- sources:
+  - layer_range: [66, 76]
+    model:
+      model:
+        path: ../CodeLlama-70b-Instruct-hf
+- sources:
+  - layer_range: [42, 66]
+    model:
+      model:
+        path: ../CodeLlama-70b-hf
+- sources:
+  - layer_range: [13, 37]
+    model:
+      model:
+        path: ../CodeLlama-70b-Python-hf
+- sources:
+  - layer_range: [10, 80]
+    model:
+      model:
+        path: ../CodeLlama-70b-Instruct-hf
+```
+
+### Stay tuned for GGUFs quants

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "BigCodeLlama-169b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 197,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32016
+}

mergekit_config.yml

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+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 69]
+    model:
+      model:
+        path: ../CodeLlama-70b-hf
+- sources:
+  - layer_range: [66, 76]
+    model:
+      model:
+        path: ../CodeLlama-70b-Instruct-hf
+- sources:
+  - layer_range: [42, 66]
+    model:
+      model:
+        path: ../CodeLlama-70b-hf
+- sources:
+  - layer_range: [13, 37]
+    model:
+      model:
+        path: ../CodeLlama-70b-Python-hf
+- sources:
+  - layer_range: [10, 80]
+    model:
+      model:
+        path: ../CodeLlama-70b-Instruct-hf

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false
+}