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Model: anakin87/Llama-3-8b-ita-slerp
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
+- DeepMount00/Llama-3-8b-Ita
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama3
+language:
+- it
+---
+# Llama-3-8b-ita-slerp
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+I tried to merge two of the best Italian LLMs using Mergekit. The results are acceptable, but I could not improve on the best existing model.
+
+## Evaluation
+
+For a detailed comparison of model performance, check out the [Leaderboard for Italian Language Models](https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard).
+
+Here's a breakdown of the performance metrics:
+
+| Metric                      | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
+|:----------------------------|:----------------------|:----------------|:---------------------|:--------|
+| **Accuracy Normalized**     | 0.6879               | 0.5714        | 0.5732              | 0.6109  |
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA](https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA)
+* [DeepMount00/Llama-3-8b-Ita](https://huggingface.co/DeepMount00/Llama-3-8b-Ita)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+- sources:
+  - model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
+    layer_range:
+    - 0
+    - 32
+  - model: DeepMount00/Llama-3-8b-Ita
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
+  "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": 32,
+  "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": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "eos_token_id": [128001, 128009],
+  "do_sample": true,
+  "temperature": 0.6,
+  "max_length": 4096,
+  "top_p": 0.9,
+  "transformers_version": "4.40.1"
+}

mergekit_config.yml

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+
+slices:
+- sources:
+  - model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
+    layer_range:
+    - 0
+    - 32
+  - model: DeepMount00/Llama-3-8b-Ita
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: bfloat16

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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
+  }
+}