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Browse files- README.md +71 -0
- added_tokens.json +5 -0
- config.json +41 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- science-mad.jpg +0 -0
- special_tokens_map.json +10 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- 32 bit upscale
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- full 32 bit precision
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- master files
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---
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<h3> Master Files for Ultra High Quality Remasters of "Psyonic-Cetacean" 20B </h3>
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<img src="science-mad.jpg" width=300px height=300px style="float:right; padding:5px;">
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May "Space Whale" swim in the oceans of the universe forever!
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This repo contains the full precision (32 bit) master files for 32 bit upscales created by "DavidAU" of:
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https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix
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And
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https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF
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Please view either repo for details on the remaster's results, and other important infomation.
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<font color="red"><B>IMPORTANT NOTES For Maximum Results: </b></font>
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These are "final" result files of the full precision rebuild (including end result merge(s)) minus
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GGUF and Imatrix level upscaling / adjustments which occuring during "GGUFing" processes.
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If you use these to create your own GGUFs, please use "outfile" at F32 for best results. If
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you use F16 this will reduce the quality by a factor of 2 or higher.
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Imatrix processes should use a stable dataset(s) of at least 500 "chunks" or more.
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If smaller dataset(s) are used this may corrupt or reduce the quality of the Imatrix builds.
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Due to the precision remaster there will be "greater" distance between each quant - both
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non imatrix and imatrix.
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IE: The jump in quality, instruction following, "ai brainpower", nuance and output
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between Q4 and Q5 and likewise Q5 and Q6 will be larger than normal.
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Same applies to "Imatrix" quants.
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In addition there will also be differences between exact Imatrix and non-imatrix quants
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especially in terms of "creative uses" and/or uses where there is no "right answer".
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Finally, in terms of prompts:
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You may find longer prompts are no longer required and/or you may need to reduce the size
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of prompts in usage. This is a factor due to the precision upscale.
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Doing this will ensure the quality of the upscale is maximized in the GGUFs.
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/* GPTQers:
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Suggest 4bit-Act32 TRUE for best results.
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/* EXL2ers:
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Suggest Min 4.5 BPW or higher ; 6 BPW and up is especially potent.
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Strongly suggest you do not reduce layer bit count, as this will affect depth and nuance.
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The more BPW the better.
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Happy GGUFing, EXL2ing, GPTQing, AWQing, HQQing and of course "Merging".
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<b>LONG LIVE OPEN SOURCE!</B>
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<I>DavidAU</I>
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/* Drop me a note when up, and I will link the masters to your repos.
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added_tokens.json
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{
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"</s>": 2,
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"<s>": 1,
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"<unk>": 0
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}
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config.json
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{
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"_name_or_path": "F:/13B/Orca-2-13b_flat",
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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": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 62,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.42.0.dev0",
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"use_cache": true,
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"vocab_size": 32000,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.1.3",
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"bits": 3.75,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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model.safetensors.index.json
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": "<s>",
|
8 |
+
"eos_token": "</s>",
|
9 |
+
"unk_token": "<unk>"
|
10 |
+
}
|
tokenizer.json
ADDED
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|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
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|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
}
|
27 |
+
},
|
28 |
+
"additional_special_tokens": [
|
29 |
+
"<unk>",
|
30 |
+
"<s>",
|
31 |
+
"</s>"
|
32 |
+
],
|
33 |
+
"bos_token": "<s>",
|
34 |
+
"clean_up_tokenization_spaces": false,
|
35 |
+
"eos_token": "</s>",
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": null,
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": true
|
42 |
+
}
|