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Kaiju-A.yml

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+slices:
+  - sources:
+      - model: migtissera/Tess-M-v1.3
+        layer_range: [0, 12]
+  - sources:
+      - model: migtissera/Tess-M-v1.2
+        layer_range: [6, 18]
+  - sources:
+      - model: migtissera/Tess-M-v1.3
+        layer_range: [13, 24]
+  - sources:
+      - model: migtissera/Tess-M-v1.2
+        layer_range: [19, 30]
+  - sources:
+      - model: migtissera/Tess-M-v1.3
+        layer_range: [25, 36]
+  - sources:
+      - model: migtissera/Tess-M-v1.2
+        layer_range: [31,42]
+  - sources:
+      - model: migtissera/Tess-M-v1.3
+        layer_range: [37, 48]
+  - sources:
+      - model: migtissera/Tess-M-v1.2
+        layer_range: [43, 54]
+  - sources:
+      - model: migtissera/Tess-M-v1.3
+        layer_range: [49, 60]
+merge_method: passthrough
+dtype: float16

README.md

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+---
+license: other
+license_name: yi-34b
+license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
+---
+
+## Kaiju-57B
+
+I made this model as an experiment for /r/LocalLlama, who've all wanted a Yi graft like Goliath. 
+I took the goliath-120B template and used the same proportions to blend Tess-M-v1.3 and Tess-M-v1.2. The mergekit yaml is in the repo.
+I chose these two as there are still precious few Yi-200K tunes and merging models with different ideas of positional encoding did not work well.
+Thanks to Meta for Llama which kickstarted open weight models, thanks to Yi for the base model, thanks migtissera and the others who have fine-tuned Yi. Special shoutout to chargoddard for mergekit and the original frankenllama.
+
+
+# Prompt Format:
+
+```
+SYSTEM: <ANY SYSTEM CONTEXT>
+USER: 
+ASSISTANT:
+```
+
+

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "lodrick-the-lafted/Kaiju-A-57B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 64000,
+  "eos_token_id": 64001,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 200000,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 101,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.0",
+  "use_cache": false,
+  "vocab_size": 64002
+}

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