Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +64 -0
- added_tokens.json +24 -0
- deepmeeker-7b-base-ties.Q4_K_M.gguf +3 -0
- deepmeeker-7b-base-ties.fp16.bin +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +194 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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deepmeeker-7b-base-ties.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- ise-uiuc/Magicoder-DS-6.7B
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- deepseek-ai/deepseek-coder-6.7b-base
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tags:
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- merge
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- mergekit
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- lazymergekit
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- ise-uiuc/Magicoder-DS-6.7B
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- deepseek-ai/deepseek-coder-6.7b-base
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---
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# DeepMeeker-7B-Base-Ties
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DeepMeeker-7B-Base-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [ise-uiuc/Magicoder-DS-6.7B](https://huggingface.co/ise-uiuc/Magicoder-DS-6.7B)
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* [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base)
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## 🧩 Configuration
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```yaml
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models:
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- model: ise-uiuc/Magicoder-DS-6.7B
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parameters:
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weight: 1
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density: 1
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- model: deepseek-ai/deepseek-coder-6.7b-base
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parameters:
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weight: 1
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density: 1
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merge_method: ties
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base_model: ise-uiuc/Magicoder-DS-6.7B
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parameters:
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weight: 1
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density: 1
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normalize: true
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int8_mask: false
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dtype: float16
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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 = "JoPmt/DeepMeeker-7B-Base-Ties"
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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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added_tokens.json
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{
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"<pad>": 32018,
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"<|Assistant|>": 32020,
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"<|EOT|>": 32021,
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"<|User|>": 32019,
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"<|begin▁of▁sentence|>": 32013,
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"<|end▁of▁sentence|>": 32014,
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"<|fim▁begin|>": 32016,
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"<|fim▁end|>": 32017,
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"<|fim▁hole|>": 32015,
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"À": 32004,
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"Á": 32002,
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"õ": 32000,
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"ö": 32011,
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"÷": 32001,
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"ø": 32006,
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"ù": 32010,
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"ú": 32007,
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"û": 32012,
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"ü": 32009,
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"ý": 32003,
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"þ": 32008,
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"ÿ": 32005
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}
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deepmeeker-7b-base-ties.Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f31574d273f8ba7d1dbb8454b7614d3ac9e4e63a444f4bdf865a31b9cf529e0
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size 4082461280
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deepmeeker-7b-base-ties.fp16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8a72cbfb569c637a5e09d181f940193159adfdd305654ded951682321f11682
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size 13482306112
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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size 500058
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tokenizer_config.json
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},
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},
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160 |
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162 |
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|
163 |
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|
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|
165 |
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},
|
166 |
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"32020": {
|
167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
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|
173 |
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179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{{bos_token}}{{'You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.\n\n'}}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{ raise_exception('System messages are not allowed in this template.') }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'@@ Instruction\n' + message['content'] + '\n\n'}}\n {%- else %}\n{{'@@ Response\n' + message['content'] + eos_token + '\n\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{{'@@ Response\n'}}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|end▁of▁sentence|>",
|
187 |
+
"legacy": true,
|
188 |
+
"model_max_length": 16384,
|
189 |
+
"pad_token": "<|end▁of▁sentence|>",
|
190 |
+
"sp_model_kwargs": {},
|
191 |
+
"tokenizer_class": "LlamaTokenizer",
|
192 |
+
"unk_token": null,
|
193 |
+
"use_default_system_prompt": false
|
194 |
+
}
|