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README.md

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+---
+tags:
+- deepseek-ai/deepseek-math-7b-instruct
+- deepseek-ai/deepseek-math-7b-base
+- deepseek-ai/deepseek-math-7b-rl
+base_model:
+- deepseek-ai/deepseek-math-7b-instruct
+- deepseek-ai/deepseek-math-7b-base
+- deepseek-ai/deepseek-math-7b-rl
+- deepseek-ai/deepseek-math-7b-rl
+- deepseek-ai/deepseek-math-7b-rl
+- deepseek-ai/deepseek-math-7b-rl
+---
+
+# DeepCode-7B-Aurora-v2
+
+DeepCode-7B-Aurora-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct)
+* [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base)
+* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
+* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
+* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
+* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: deepseek-ai/deepseek-math-7b-rl
+    # No parameters necessary for base model
+  - model: deepseek-ai/deepseek-math-7b-instruct
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-base
+    parameters:
+      density: 0.57
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.54
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.61
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.65
+      weight: 0.1
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.55
+      weight: 0.1
+merge_method: dare_ties
+base_model: deepseek-ai/deepseek-math-7b-rl
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "ALBADDAWI/DeepCode-7B-Aurora-v2"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "deepseek-ai/deepseek-math-7b-rl",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 100000,
+  "eos_token_id": 100001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "moe_intermediate_size": 11008,
+  "num_attention_heads": 32,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 102400
+}

mergekit_config.yml

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+
+models:
+  - model: deepseek-ai/deepseek-math-7b-rl
+    # No parameters necessary for base model
+  - model: deepseek-ai/deepseek-math-7b-instruct
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-base
+    parameters:
+      density: 0.57
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.54
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.61
+      weight: 0.2
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.65
+      weight: 0.1
+  - model: deepseek-ai/deepseek-math-7b-rl
+    parameters:
+      density: 0.55
+      weight: 0.1
+merge_method: dare_ties
+base_model: deepseek-ai/deepseek-math-7b-rl
+parameters:
+  int8_mask: true
+dtype: bfloat16

model-00001-of-00002.safetensors

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model.safetensors.index.json

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special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,32 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "100000": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100001": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "legacy": true,
+  "model_max_length": 4096,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}