snigdhachandan
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Browse files- README.md +63 -0
- config.json +29 -0
- mergekit_config.yml +17 -0
- model-00001-of-00014.safetensors +3 -0
- model-00002-of-00014.safetensors +3 -0
- model-00003-of-00014.safetensors +3 -0
- model-00004-of-00014.safetensors +3 -0
- model-00005-of-00014.safetensors +3 -0
- model-00006-of-00014.safetensors +3 -0
- model-00007-of-00014.safetensors +3 -0
- model-00008-of-00014.safetensors +3 -0
- model-00009-of-00014.safetensors +3 -0
- model-00010-of-00014.safetensors +3 -0
- model-00011-of-00014.safetensors +3 -0
- model-00012-of-00014.safetensors +3 -0
- model-00013-of-00014.safetensors +3 -0
- model-00014-of-00014.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +32 -0
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- deepseek-ai/deepseek-math-7b-rl
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- meta-math/MetaMath-7B-V1.0
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base_model:
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- deepseek-ai/deepseek-math-7b-rl
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- meta-math/MetaMath-7B-V1.0
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---
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# ganeet-V2
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ganeet-V2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
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* [meta-math/MetaMath-7B-V1.0](https://huggingface.co/meta-math/MetaMath-7B-V1.0)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: deepseek-ai/deepseek-math-7b-rl
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layer_range: [0, 30]
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- model: meta-math/MetaMath-7B-V1.0
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layer_range: [0, 30]
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merge_method: slerp
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base_model: deepseek-ai/deepseek-math-7b-rl
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.4
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "snigdhachandan/ganeet-V2"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "deepseek-ai/deepseek-math-7b-rl",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 100000,
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"eos_token_id": 100001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"moe_intermediate_size": 11008,
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"num_attention_heads": 32,
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"num_hidden_layers": 30,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 102400
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: deepseek-ai/deepseek-math-7b-rl
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layer_range: [0, 30]
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- model: meta-math/MetaMath-7B-V1.0
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layer_range: [0, 30]
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merge_method: slerp
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base_model: deepseek-ai/deepseek-math-7b-rl
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.4
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dtype: bfloat16
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"100001": {
|
14 |
+
"content": "<|end▁of▁sentence|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
}
|
21 |
+
},
|
22 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
23 |
+
"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 %}",
|
24 |
+
"clean_up_tokenization_spaces": false,
|
25 |
+
"eos_token": "<|end▁of▁sentence|>",
|
26 |
+
"legacy": true,
|
27 |
+
"model_max_length": 4096,
|
28 |
+
"sp_model_kwargs": {},
|
29 |
+
"tokenizer_class": "LlamaTokenizer",
|
30 |
+
"unk_token": null,
|
31 |
+
"use_default_system_prompt": false
|
32 |
+
}
|