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README.md CHANGED
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1
  ---
2
- extra_gated_heading: Access Llama 2 on Hugging Face
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- extra_gated_description: This is a form to enable access to Llama 2 on Hugging Face
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- after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
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- and accept our license terms and acceptable use policy before submitting this form.
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- Requests will be processed in 1-2 days.
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- extra_gated_button_content: Submit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  extra_gated_fields:
9
- ? I agree to share my name, email address and username with Meta and confirm that
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- I have already been granted download access on the Meta website
 
 
 
 
 
 
 
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  : checkbox
 
 
 
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  language:
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  - en
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  pipeline_tag: text-generation
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- inference: false
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  tags:
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  - facebook
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  - meta
@@ -21,7 +167,8 @@ tags:
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  - llama-2
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  - TensorBlock
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  - GGUF
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- base_model: NousResearch/Llama-2-7b-chat-hf
 
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  ---
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  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -35,13 +182,12 @@ base_model: NousResearch/Llama-2-7b-chat-hf
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  </div>
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  </div>
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- ## NousResearch/Llama-2-7b-chat-hf - GGUF
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- This repo contains GGUF format model files for [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf).
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  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
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-
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  <div style="text-align: left; margin: 20px 0;">
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  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
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  Run them on the TensorBlock client using your local machine ↗
@@ -50,27 +196,30 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
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  ## Prompt template
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-
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  ```
 
 
 
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  ```
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  ## Model file specification
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  | Filename | Quant type | File Size | Description |
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  | -------- | ---------- | --------- | ----------- |
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- | [Llama-2-7b-chat-hf-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q2_K.gguf) | Q2_K | 2.359 GB | smallest, significant quality loss - not recommended for most purposes |
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- | [Llama-2-7b-chat-hf-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_S.gguf) | Q3_K_S | 2.746 GB | very small, high quality loss |
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- | [Llama-2-7b-chat-hf-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_M.gguf) | Q3_K_M | 3.072 GB | very small, high quality loss |
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- | [Llama-2-7b-chat-hf-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_L.gguf) | Q3_K_L | 3.350 GB | small, substantial quality loss |
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- | [Llama-2-7b-chat-hf-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_0.gguf) | Q4_0 | 3.563 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Llama-2-7b-chat-hf-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_S.gguf) | Q4_K_S | 3.592 GB | small, greater quality loss |
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- | [Llama-2-7b-chat-hf-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_M.gguf) | Q4_K_M | 3.801 GB | medium, balanced quality - recommended |
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- | [Llama-2-7b-chat-hf-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_0.gguf) | Q5_0 | 4.332 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Llama-2-7b-chat-hf-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_S.gguf) | Q5_K_S | 4.332 GB | large, low quality loss - recommended |
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- | [Llama-2-7b-chat-hf-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_M.gguf) | Q5_K_M | 4.455 GB | large, very low quality loss - recommended |
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- | [Llama-2-7b-chat-hf-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q6_K.gguf) | Q6_K | 5.149 GB | very large, extremely low quality loss |
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- | [Llama-2-7b-chat-hf-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q8_0.gguf) | Q8_0 | 6.669 GB | very large, extremely low quality loss - not recommended |
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  ## Downloading instruction
 
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  ---
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+ model
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+ \ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
135
+ \ 6. Generating or facilitating false online engagement, including fake reviews\
136
+ \ and other means of fake online engagement \n 4. Fail to appropriately disclose\
137
+ \ to end users any known dangers of your AI system \nPlease report any violation\
138
+ \ of this Policy, software “bug,” or other problems that could lead to a violation\
139
+ \ of this Policy through one of the following means: \n * Reporting issues with\
140
+ \ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
141
+ \ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
142
+ \ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
143
+ \ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
144
+ \ Llama: [[email protected]](mailto:[email protected])"
145
  extra_gated_fields:
146
+ First Name: text
147
+ Last Name: text
148
+ Date of birth: date_picker
149
+ Country: country
150
+ Affiliation: text
151
+ geo: ip_location
152
+ ? By clicking Submit below I accept the terms of the license and acknowledge that
153
+ the information I provide will be collected stored processed and shared in accordance
154
+ with the Meta Privacy Policy
155
  : checkbox
156
+ extra_gated_description: The information you provide will be collected, stored, processed
157
+ and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
158
+ extra_gated_button_content: Submit
159
  language:
160
  - en
161
  pipeline_tag: text-generation
 
162
  tags:
163
  - facebook
164
  - meta
 
167
  - llama-2
168
  - TensorBlock
169
  - GGUF
170
+ license: llama2
171
+ base_model: meta-llama/Llama-2-7b-chat-hf
172
  ---
173
 
174
  <div style="width: auto; margin-left: auto; margin-right: auto">
 
182
  </div>
183
  </div>
184
 
185
+ ## meta-llama/Llama-2-7b-chat-hf - GGUF
186
 
187
+ This repo contains GGUF format model files for [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
188
 
189
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
190
 
 
191
  <div style="text-align: left; margin: 20px 0;">
192
  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
193
  Run them on the TensorBlock client using your local machine ↗
 
196
 
197
  ## Prompt template
198
 
 
199
  ```
200
+ <s>[INST] <<SYS>>
201
+ {system_prompt}
202
+ <</SYS>>
203
 
204
+ {prompt} [/INST]
205
  ```
206
 
207
  ## Model file specification
208
 
209
  | Filename | Quant type | File Size | Description |
210
  | -------- | ---------- | --------- | ----------- |
211
+ | [Llama-2-7b-chat-hf-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
212
+ | [Llama-2-7b-chat-hf-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
213
+ | [Llama-2-7b-chat-hf-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
214
+ | [Llama-2-7b-chat-hf-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
215
+ | [Llama-2-7b-chat-hf-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
216
+ | [Llama-2-7b-chat-hf-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
217
+ | [Llama-2-7b-chat-hf-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
218
+ | [Llama-2-7b-chat-hf-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
219
+ | [Llama-2-7b-chat-hf-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
220
+ | [Llama-2-7b-chat-hf-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
221
+ | [Llama-2-7b-chat-hf-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
222
+ | [Llama-2-7b-chat-hf-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-chat-hf-GGUF/blob/main/Llama-2-7b-chat-hf-Q8_0.gguf) | Q8_0 | 7.161 GB | very large, extremely low quality loss - not recommended |
223
 
224
 
225
  ## Downloading instruction