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Model: Alelcv27/Minerva-7B-Breadcrumbs-Math-French
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- Alelcv27/Minerva-7B-French-v2
+- Alelcv27/Minerva-7B-Math-v2
+- sapienzanlp/Minerva-7B-instruct-v1.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Minerva-7B-Breadcrumbs-Math-French
+
+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 [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [sapienzanlp/Minerva-7B-instruct-v1.0](https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Alelcv27/Minerva-7B-French-v2](https://huggingface.co/Alelcv27/Minerva-7B-French-v2)
+* [Alelcv27/Minerva-7B-Math-v2](https://huggingface.co/Alelcv27/Minerva-7B-Math-v2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: sapienzanlp/Minerva-7B-instruct-v1.0
+dtype: float16
+merge_method: breadcrumbs
+modules:
+  default:
+    slices:
+    - sources:
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-French-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-Math-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: sapienzanlp/Minerva-7B-instruct-v1.0
+parameters:
+  density: 0.9
+  gamma: 0.01
+  normalize: 1.0
+```

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": [
+    2,
+    51202
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 51264
+}

mergekit_config.yml

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+base_model: sapienzanlp/Minerva-7B-instruct-v1.0
+dtype: float16
+merge_method: breadcrumbs
+modules:
+  default:
+    slices:
+    - sources:
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-French-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: Alelcv27/Minerva-7B-Math-v2
+        parameters:
+          weight: 0.8
+      - layer_range: [0, 32]
+        model: sapienzanlp/Minerva-7B-instruct-v1.0
+parameters:
+  density: 0.9
+  gamma: 0.01
+  normalize: 1.0

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "<|eot_id|>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51200": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51201": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51202": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "<|eot_id|>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|eot_id|>",
+  "legacy": true,
+  "model_max_length": 4096,
+  "pad_token": "<|eot_id|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "vocab_size": 51200,
+  "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}"
+}