bartowski commited on
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Quant for 5.0

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README.md CHANGED
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  ---
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- license: other
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- license_name: deepseek
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- license_link: LICENSE
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  quantized_by: bartowski
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- pipeline_tag: text-generation
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  ---
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- ## Exllama v2 Quantizations of autodev-coder
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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-
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  Conversion was done using the default calibration dataset.
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- Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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-
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  Original model: https://huggingface.co/unit-mesh/autodev-coder
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-
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- <a href="https://huggingface.co/bartowski/autodev-coder-exl2/tree/6_5">6.5 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/autodev-coder-exl2/tree/8_0">8.0 bits per weight</a>
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  ## Download instructions
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  With git:
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  ```shell
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- git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/autodev-coder-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
@@ -36,16 +24,9 @@ With huggingface hub (credit to TheBloke for instructions):
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  pip3 install huggingface-hub
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  ```
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- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `autodev-coder-exl2`:
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-
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- ```shell
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- mkdir autodev-coder-exl2
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- huggingface-cli download bartowski/autodev-coder-exl2 --local-dir autodev-coder-exl2 --local-dir-use-symlinks False
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- ```
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-
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
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  mkdir autodev-coder-exl2
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- huggingface-cli download bartowski/autodev-coder-exl2 --revision 4_0 --local-dir autodev-coder-exl2 --local-dir-use-symlinks False
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  ```
 
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  ---
 
 
 
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  quantized_by: bartowski
 
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  ---
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+ # Exllama v2 Quantizations of autodev-coder at 5.0 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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  Conversion was done using the default calibration dataset.
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  Original model: https://huggingface.co/unit-mesh/autodev-coder
 
 
 
 
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  ## Download instructions
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  With git:
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  ```shell
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+ git clone --single-branch --branch 5.0 https://huggingface.co/bartowski/autodev-coder-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
 
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  pip3 install huggingface-hub
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  ```
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
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  mkdir autodev-coder-exl2
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+ huggingface-cli download bartowski/autodev-coder-exl2 --revision 5_0 --local-dir autodev-coder-exl2 --local-dir-use-symlinks False
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  ```
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100
+ },
101
+ "32012": {
102
+ "content": "û",
103
+ "lstrip": false,
104
+ "normalized": true,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "32013": {
110
+ "content": "<|begin▁of▁sentence|>",
111
+ "lstrip": false,
112
+ "normalized": true,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "32014": {
118
+ "content": "<|end▁of▁sentence|>",
119
+ "lstrip": false,
120
+ "normalized": true,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": true
124
+ },
125
+ "32015": {
126
+ "content": "<|fim▁hole|>",
127
+ "lstrip": false,
128
+ "normalized": true,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "32016": {
134
+ "content": "<|fim▁begin|>",
135
+ "lstrip": false,
136
+ "normalized": true,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "32017": {
142
+ "content": "<|fim▁end|>",
143
+ "lstrip": false,
144
+ "normalized": true,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "32018": {
150
+ "content": "<pad>",
151
+ "lstrip": false,
152
+ "normalized": true,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "32019": {
158
+ "content": "<|User|>",
159
+ "lstrip": false,
160
+ "normalized": true,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "32020": {
166
+ "content": "<|Assistant|>",
167
+ "lstrip": false,
168
+ "normalized": true,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "32021": {
174
+ "content": "<|EOT|>",
175
+ "lstrip": false,
176
+ "normalized": true,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": true
180
+ }
181
+ },
182
+ "bos_token": "<|begin▁of▁sentence|>",
183
+ "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
184
+ "clean_up_tokenization_spaces": false,
185
+ "eos_token": "<|EOT|>",
186
+ "legacy": true,
187
+ "model_max_length": 1024,
188
+ "pad_token": "<|end▁of▁sentence|>",
189
+ "padding_side": "right",
190
+ "sp_model_kwargs": {},
191
+ "tokenizer_class": "LlamaTokenizer",
192
+ "unk_token": null,
193
+ "use_default_system_prompt": false
194
+ }