TheBloke commited on
Commit
bf1cc7f
1 Parent(s): 1d4e94f

Upload README.md

Browse files
Files changed (1) hide show
  1. README.md +403 -0
README.md ADDED
@@ -0,0 +1,403 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties
3
+ inference: false
4
+ language:
5
+ - en
6
+ library_name: transformers
7
+ license: other
8
+ license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
9
+ license_name: yi-license
10
+ model_creator: brucethemoose
11
+ model_name: Capytessborosyi 34B 200K Dare Ties
12
+ model_type: yi
13
+ pipeline_tag: text-generation
14
+ prompt_template: 'SYSTEM: {system_message}
15
+
16
+ USER: {prompt}
17
+
18
+ ASSISTANT:
19
+
20
+ '
21
+ quantized_by: TheBloke
22
+ ---
23
+ <!-- markdownlint-disable MD041 -->
24
+
25
+ <!-- header start -->
26
+ <!-- 200823 -->
27
+ <div style="width: auto; margin-left: auto; margin-right: auto">
28
+ <img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
29
+ </div>
30
+ <div style="display: flex; justify-content: space-between; width: 100%;">
31
+ <div style="display: flex; flex-direction: column; align-items: flex-start;">
32
+ <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
33
+ </div>
34
+ <div style="display: flex; flex-direction: column; align-items: flex-end;">
35
+ <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
36
+ </div>
37
+ </div>
38
+ <div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
39
+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
40
+ <!-- header end -->
41
+
42
+ # Capytessborosyi 34B 200K Dare Ties - GGUF
43
+ - Model creator: [brucethemoose](https://huggingface.co/brucethemoose)
44
+ - Original model: [Capytessborosyi 34B 200K Dare Ties](https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties)
45
+
46
+ <!-- description start -->
47
+ ## Description
48
+
49
+ This repo contains GGUF format model files for [brucethemoose's Capytessborosyi 34B 200K Dare Ties](https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties).
50
+
51
+ These files were quantised using hardware kindly provided by [Massed Compute](https://massedcompute.com/).
52
+
53
+ <!-- description end -->
54
+ <!-- README_GGUF.md-about-gguf start -->
55
+ ### About GGUF
56
+
57
+ GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
58
+
59
+ Here is an incomplete list of clients and libraries that are known to support GGUF:
60
+
61
+ * [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
62
+ * [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
63
+ * [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
64
+ * [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
65
+ * [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
66
+ * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
67
+ * [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
68
+ * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
69
+ * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
70
+ * [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
71
+
72
+ <!-- README_GGUF.md-about-gguf end -->
73
+ <!-- repositories-available start -->
74
+ ## Repositories available
75
+
76
+ * [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-AWQ)
77
+ * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GPTQ)
78
+ * [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF)
79
+ * [brucethemoose's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties)
80
+ <!-- repositories-available end -->
81
+
82
+ <!-- prompt-template start -->
83
+ ## Prompt template: Orca-Vicuna
84
+
85
+ ```
86
+ SYSTEM: {system_message}
87
+ USER: {prompt}
88
+ ASSISTANT:
89
+
90
+ ```
91
+
92
+ <!-- prompt-template end -->
93
+
94
+
95
+ <!-- compatibility_gguf start -->
96
+ ## Compatibility
97
+
98
+ These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221)
99
+
100
+ They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
101
+
102
+ ## Explanation of quantisation methods
103
+
104
+ <details>
105
+ <summary>Click to see details</summary>
106
+
107
+ The new methods available are:
108
+
109
+ * GGML_TYPE_Q2_K - "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. Block scales and mins are quantized with 4 bits. This ends up effectively using 2.5625 bits per weight (bpw)
110
+ * GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
111
+ * GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
112
+ * GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
113
+ * GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw
114
+
115
+ Refer to the Provided Files table below to see what files use which methods, and how.
116
+ </details>
117
+ <!-- compatibility_gguf end -->
118
+
119
+ <!-- README_GGUF.md-provided-files start -->
120
+ ## Provided files
121
+
122
+ | Name | Quant method | Bits | Size | Max RAM required | Use case |
123
+ | ---- | ---- | ---- | ---- | ---- | ----- |
124
+ | [capytessborosyi-34b-200k-dare-ties.Q2_K.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q2_K.gguf) | Q2_K | 2 | 14.56 GB| 17.06 GB | smallest, significant quality loss - not recommended for most purposes |
125
+ | [capytessborosyi-34b-200k-dare-ties.Q3_K_S.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q3_K_S.gguf) | Q3_K_S | 3 | 14.96 GB| 17.46 GB | very small, high quality loss |
126
+ | [capytessborosyi-34b-200k-dare-ties.Q3_K_M.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q3_K_M.gguf) | Q3_K_M | 3 | 16.64 GB| 19.14 GB | very small, high quality loss |
127
+ | [capytessborosyi-34b-200k-dare-ties.Q3_K_L.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q3_K_L.gguf) | Q3_K_L | 3 | 18.14 GB| 20.64 GB | small, substantial quality loss |
128
+ | [capytessborosyi-34b-200k-dare-ties.Q4_0.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q4_0.gguf) | Q4_0 | 4 | 19.47 GB| 21.97 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
129
+ | [capytessborosyi-34b-200k-dare-ties.Q4_K_S.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q4_K_S.gguf) | Q4_K_S | 4 | 19.54 GB| 22.04 GB | small, greater quality loss |
130
+ | [capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf) | Q4_K_M | 4 | 20.66 GB| 23.16 GB | medium, balanced quality - recommended |
131
+ | [capytessborosyi-34b-200k-dare-ties.Q5_0.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q5_0.gguf) | Q5_0 | 5 | 23.71 GB| 26.21 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
132
+ | [capytessborosyi-34b-200k-dare-ties.Q5_K_S.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q5_K_S.gguf) | Q5_K_S | 5 | 23.71 GB| 26.21 GB | large, low quality loss - recommended |
133
+ | [capytessborosyi-34b-200k-dare-ties.Q5_K_M.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q5_K_M.gguf) | Q5_K_M | 5 | 24.32 GB| 26.82 GB | large, very low quality loss - recommended |
134
+ | [capytessborosyi-34b-200k-dare-ties.Q6_K.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q6_K.gguf) | Q6_K | 6 | 28.21 GB| 30.71 GB | very large, extremely low quality loss |
135
+ | [capytessborosyi-34b-200k-dare-ties.Q8_0.gguf](https://huggingface.co/TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF/blob/main/capytessborosyi-34b-200k-dare-ties.Q8_0.gguf) | Q8_0 | 8 | 36.54 GB| 39.04 GB | very large, extremely low quality loss - not recommended |
136
+
137
+ **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
138
+
139
+
140
+
141
+ <!-- README_GGUF.md-provided-files end -->
142
+
143
+ <!-- README_GGUF.md-how-to-download start -->
144
+ ## How to download GGUF files
145
+
146
+ **Note for manual downloaders:** You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file.
147
+
148
+ The following clients/libraries will automatically download models for you, providing a list of available models to choose from:
149
+
150
+ * LM Studio
151
+ * LoLLMS Web UI
152
+ * Faraday.dev
153
+
154
+ ### In `text-generation-webui`
155
+
156
+ Under Download Model, you can enter the model repo: TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF and below it, a specific filename to download, such as: capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf.
157
+
158
+ Then click Download.
159
+
160
+ ### On the command line, including multiple files at once
161
+
162
+ I recommend using the `huggingface-hub` Python library:
163
+
164
+ ```shell
165
+ pip3 install huggingface-hub
166
+ ```
167
+
168
+ Then you can download any individual model file to the current directory, at high speed, with a command like this:
169
+
170
+ ```shell
171
+ huggingface-cli download TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
172
+ ```
173
+
174
+ <details>
175
+ <summary>More advanced huggingface-cli download usage (click to read)</summary>
176
+
177
+ You can also download multiple files at once with a pattern:
178
+
179
+ ```shell
180
+ huggingface-cli download TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
181
+ ```
182
+
183
+ For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
184
+
185
+ To accelerate downloads on fast connections (1Gbit/s or higher), install `hf_transfer`:
186
+
187
+ ```shell
188
+ pip3 install hf_transfer
189
+ ```
190
+
191
+ And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
192
+
193
+ ```shell
194
+ HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/CapyTessBorosYi-34B-200K-DARE-Ties-GGUF capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
195
+ ```
196
+
197
+ Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.
198
+ </details>
199
+ <!-- README_GGUF.md-how-to-download end -->
200
+
201
+ <!-- README_GGUF.md-how-to-run start -->
202
+ ## Example `llama.cpp` command
203
+
204
+ Make sure you are using `llama.cpp` from commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
205
+
206
+ ```shell
207
+ ./main -ngl 35 -m capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf --color -c 3072 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "SYSTEM: {system_message}\nUSER: {prompt}\nASSISTANT:"
208
+ ```
209
+
210
+ Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
211
+
212
+ Change `-c 3072` to the desired sequence length. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically. Note that longer sequence lengths require much more resources, so you may need to reduce this value.
213
+
214
+ If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
215
+
216
+ For other parameters and how to use them, please refer to [the llama.cpp documentation](https://github.com/ggerganov/llama.cpp/blob/master/examples/main/README.md)
217
+
218
+ ## How to run in `text-generation-webui`
219
+
220
+ Further instructions can be found in the text-generation-webui documentation, here: [text-generation-webui/docs/04 ‐ Model Tab.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/04%20%E2%80%90%20Model%20Tab.md#llamacpp).
221
+
222
+ ## How to run from Python code
223
+
224
+ You can use GGUF models from Python using the [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) or [ctransformers](https://github.com/marella/ctransformers) libraries. Note that at the time of writing (Nov 27th 2023), ctransformers has not been updated for some time and is not compatible with some recent models. Therefore I recommend you use llama-cpp-python.
225
+
226
+ ### How to load this model in Python code, using llama-cpp-python
227
+
228
+ For full documentation, please see: [llama-cpp-python docs](https://abetlen.github.io/llama-cpp-python/).
229
+
230
+ #### First install the package
231
+
232
+ Run one of the following commands, according to your system:
233
+
234
+ ```shell
235
+ # Base ctransformers with no GPU acceleration
236
+ pip install llama-cpp-python
237
+ # With NVidia CUDA acceleration
238
+ CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python
239
+ # Or with OpenBLAS acceleration
240
+ CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-python
241
+ # Or with CLBLast acceleration
242
+ CMAKE_ARGS="-DLLAMA_CLBLAST=on" pip install llama-cpp-python
243
+ # Or with AMD ROCm GPU acceleration (Linux only)
244
+ CMAKE_ARGS="-DLLAMA_HIPBLAS=on" pip install llama-cpp-python
245
+ # Or with Metal GPU acceleration for macOS systems only
246
+ CMAKE_ARGS="-DLLAMA_METAL=on" pip install llama-cpp-python
247
+
248
+ # In windows, to set the variables CMAKE_ARGS in PowerShell, follow this format; eg for NVidia CUDA:
249
+ $env:CMAKE_ARGS = "-DLLAMA_OPENBLAS=on"
250
+ pip install llama-cpp-python
251
+ ```
252
+
253
+ #### Simple llama-cpp-python example code
254
+
255
+ ```python
256
+ from llama_cpp import Llama
257
+
258
+ # Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
259
+ llm = Llama(
260
+ model_path="./capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf", # Download the model file first
261
+ n_ctx=3072, # The max sequence length to use - note that longer sequence lengths require much more resources
262
+ n_threads=8, # The number of CPU threads to use, tailor to your system and the resulting performance
263
+ n_gpu_layers=35 # The number of layers to offload to GPU, if you have GPU acceleration available
264
+ )
265
+
266
+ # Simple inference example
267
+ output = llm(
268
+ "SYSTEM: {system_message}\nUSER: {prompt}\nASSISTANT:", # Prompt
269
+ max_tokens=512, # Generate up to 512 tokens
270
+ stop=["</s>"], # Example stop token - not necessarily correct for this specific model! Please check before using.
271
+ echo=True # Whether to echo the prompt
272
+ )
273
+
274
+ # Chat Completion API
275
+
276
+ llm = Llama(model_path="./capytessborosyi-34b-200k-dare-ties.Q4_K_M.gguf", chat_format="llama-2") # Set chat_format according to the model you are using
277
+ llm.create_chat_completion(
278
+ messages = [
279
+ {"role": "system", "content": "You are a story writing assistant."},
280
+ {
281
+ "role": "user",
282
+ "content": "Write a story about llamas."
283
+ }
284
+ ]
285
+ )
286
+ ```
287
+
288
+ ## How to use with LangChain
289
+
290
+ Here are guides on using llama-cpp-python and ctransformers with LangChain:
291
+
292
+ * [LangChain + llama-cpp-python](https://python.langchain.com/docs/integrations/llms/llamacpp)
293
+ * [LangChain + ctransformers](https://python.langchain.com/docs/integrations/providers/ctransformers)
294
+
295
+ <!-- README_GGUF.md-how-to-run end -->
296
+
297
+ <!-- footer start -->
298
+ <!-- 200823 -->
299
+ ## Discord
300
+
301
+ For further support, and discussions on these models and AI in general, join us at:
302
+
303
+ [TheBloke AI's Discord server](https://discord.gg/theblokeai)
304
+
305
+ ## Thanks, and how to contribute
306
+
307
+ Thanks to the [chirper.ai](https://chirper.ai) team!
308
+
309
+ Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
310
+
311
+ I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
312
+
313
+ If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
314
+
315
+ Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
316
+
317
+ * Patreon: https://patreon.com/TheBlokeAI
318
+ * Ko-Fi: https://ko-fi.com/TheBlokeAI
319
+
320
+ **Special thanks to**: Aemon Algiz.
321
+
322
+ **Patreon special mentions**: Brandon Frisco, LangChain4j, Spiking Neurons AB, transmissions 11, Joseph William Delisle, Nitin Borwankar, Willem Michiel, Michael Dempsey, vamX, Jeffrey Morgan, zynix, jjj, Omer Bin Jawed, Sean Connelly, jinyuan sun, Jeromy Smith, Shadi, Pawan Osman, Chadd, Elijah Stavena, Illia Dulskyi, Sebastain Graf, Stephen Murray, terasurfer, Edmond Seymore, Celu Ramasamy, Mandus, Alex, biorpg, Ajan Kanaga, Clay Pascal, Raven Klaugh, 阿明, K, ya boyyy, usrbinkat, Alicia Loh, John Villwock, ReadyPlayerEmma, Chris Smitley, Cap'n Zoog, fincy, GodLy, S_X, sidney chen, Cory Kujawski, OG, Mano Prime, AzureBlack, Pieter, Kalila, Spencer Kim, Tom X Nguyen, Stanislav Ovsiannikov, Michael Levine, Andrey, Trailburnt, Vadim, Enrico Ros, Talal Aujan, Brandon Phillips, Jack West, Eugene Pentland, Michael Davis, Will Dee, webtim, Jonathan Leane, Alps Aficionado, Rooh Singh, Tiffany J. Kim, theTransient, Luke @flexchar, Elle, Caitlyn Gatomon, Ari Malik, subjectnull, Johann-Peter Hartmann, Trenton Dambrowitz, Imad Khwaja, Asp the Wyvern, Emad Mostaque, Rainer Wilmers, Alexandros Triantafyllidis, Nicholas, Pedro Madruga, SuperWojo, Harry Royden McLaughlin, James Bentley, Olakabola, David Ziegler, Ai Maven, Jeff Scroggin, Nikolai Manek, Deo Leter, Matthew Berman, Fen Risland, Ken Nordquist, Manuel Alberto Morcote, Luke Pendergrass, TL, Fred von Graf, Randy H, Dan Guido, NimbleBox.ai, Vitor Caleffi, Gabriel Tamborski, knownsqashed, Lone Striker, Erik Bjäreholt, John Detwiler, Leonard Tan, Iucharbius
323
+
324
+
325
+ Thank you to all my generous patrons and donaters!
326
+
327
+ And thank you again to a16z for their generous grant.
328
+
329
+ <!-- footer end -->
330
+
331
+ <!-- original-model-card start -->
332
+ # Original model card: brucethemoose's Capytessborosyi 34B 200K Dare Ties
333
+
334
+
335
+ **NousResearch/Nous-Capybara-34B**, **migtissera/Tess-M-v1.3** and **bhenrym14/airoboros-3_1-yi-34b-200k** merged with a new, experimental implementation of "dare ties" via mergekit. See:
336
+
337
+ > Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
338
+
339
+ https://github.com/yule-BUAA/MergeLM
340
+
341
+ https://github.com/cg123/mergekit/tree/dare
342
+
343
+ ***
344
+
345
+ Merged with the following config, and the tokenizer from chargoddard's Yi-Llama:
346
+ ```
347
+ models:
348
+ - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
349
+ # no parameters necessary for base model
350
+ - model: /home/alpha/Storage/Models/Raw/migtissera_Tess-M-v1.3
351
+ parameters:
352
+ weight: 0.41
353
+ density: 0.50
354
+ - model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
355
+ parameters:
356
+ weight: 0.18
357
+ density: 0.46
358
+ - model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
359
+ parameters:
360
+ weight: 0.41
361
+ density: 0.50
362
+ merge_method: dare_ties
363
+ base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
364
+ parameters:
365
+ int8_mask: true
366
+ dtype: bfloat16
367
+ ```
368
+
369
+ dare_ties is testing with better perplexity than a regular ties merge with the same merge configuration. Model weights that add up to one also seem optimal from testing. And results seem... better than the previous dare merge with Tess 1.2? Maybe?
370
+
371
+ I chose not to include other finetunes, such as Dolphin, because they aren't trained on the 200K base. If any other 200K finetunes pop up, let me know.
372
+
373
+ ***
374
+
375
+ ## Prompt template: Orca-Vicuna
376
+
377
+ ```
378
+ SYSTEM: {system_message}
379
+ USER: {prompt}
380
+ ASSISTANT:
381
+
382
+ ```
383
+ Being a Yi model, try disabling the BOS token and/or running a lower temperature with MinP (and no other samplers) if output doesn't seem right. Yi tends to run "hot" by default.
384
+
385
+ Sometimes the model "spells out" the stop token as `</s>` like Capybara, so you may need to add `</s>` as an additional stopping condition. It also might respond to the llama-2 chat format.
386
+
387
+ ***
388
+
389
+ Credits:
390
+
391
+ https://github.com/cg123/mergekit/tree/dare
392
+
393
+ https://huggingface.co/NousResearch/Nous-Capybara-34B/
394
+
395
+ https://huggingface.co/bhenrym14/airoboros-3_1-yi-34b-200k
396
+
397
+ https://huggingface.co/migtissera/Tess-M-v1.3
398
+
399
+ https://huggingface.co/chargoddard/Yi-34B-200K-Llama
400
+
401
+ https://huggingface.co/01-ai/Yi-34B-200K
402
+
403
+ <!-- original-model-card end -->