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README.md

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----
-license: apache-2.0
----
+---
+base_model:
+- Fischerboot/2b-tiny-llama-alpaca-instr
+- Fischerboot/2b-lora-adapter-llama-alpaca
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+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.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Fischerboot/2b-tiny-llama-alpaca-instr](https://huggingface.co/Fischerboot/2b-tiny-llama-alpaca-instr) + [Fischerboot/2b-lora-adapter-llama-alpaca](https://huggingface.co/Fischerboot/2b-lora-adapter-llama-alpaca)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Fischerboot/2b-tiny-llama-alpaca-instr+Fischerboot/2b-lora-adapter-llama-alpaca
+merge_method: passthrough
+dtype: bfloat16
+```

config.json

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+{
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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 44,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: Fischerboot/2b-tiny-llama-alpaca-instr+Fischerboot/2b-lora-adapter-llama-alpaca
+merge_method: passthrough
+dtype: bfloat16

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