divinetaco
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Browse files- .gitattributes +1 -0
- README.md +41 -0
- aranea-ancilla.png +3 -0
- config.json +29 -0
- mergekit_config.yml +27 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -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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aranea-ancilla.png 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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- 152334H/miqu-1-70b-sf
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- NeverSleep/MiquMaid-v1-70B
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- Sao10K/WinterGoddess-1.4x-70B-L2
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# aranea-ancilla-116b-v1.0-4.4bpw-exl2
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**aka MiquMaid-v1-70B + interleaved WinterGoddess-1.4x-70B-L2**
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![image/png](https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0-4.4bpw-exl2/resolve/main/aranea-ancilla.png)
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A [mergekit](https://github.com/arcee-ai/mergekit) frankenmerge based on [NeverSleep/MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) with interleaved layers of [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2).
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This was the top performing model from a series of merge experiments to create a highly coherant creative writing model.
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Tests consisted of a series of private benchmarks and manual comparisons. A number of different base models, interleave models and layer offsets were compared.
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- Usable context ~32768
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- Recommended context ~16384
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Non frankenstein miqu-1 finetunes generally outperform their frankenstein counterparts at very long contexts due to coherency loss.
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As a rough suggestion I might suggest swapping out to either [NeverSleep/MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) or [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) after 16k context.
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Layers: 136
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### License
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No license. Component models based on the [Mistral AI Miqu-1](https://huggingface.co/miqudev/miqu-1-70b/tree/main) llama2 finetune that was released without license.
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### Interesting observations from benchmarking
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- 10 layer interleave stride with a 20 layer interleave width consistently outperformed alternatives combinations.
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- Offsetting the interleaved model's first set of layers generally improved coherency. [14-30] reliably beat the [10-30] mergekit slice configuration for various combinations of models.
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- Quality of resulting merges can vary wildly. Whilst a merge of two strong models tends to produce a strong frankenstein model, this rule does not always hold true.
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### Quantizations
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Exllamav2 quants will be available when bandwidth permits.
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aranea-ancilla.png
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Git LFS Details
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config.json
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{
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"_name_or_path": "aranea-ancilla-116b-v1.0-4.4bpw-exl2",
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32764,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 136,
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"num_key_value_heads": 8,
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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": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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merge_method: linear
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parameters:
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weight: 1.0
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slices:
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- sources:
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- model: MiquMaid-v1-70B
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layer_range: [0, 20]
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- sources:
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- model: WinterGoddess-1.4x-70B-L2
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layer_range: [14, 30]
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- sources:
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- model: MiquMaid-v1-70B
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layer_range: [20, 40]
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- sources:
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- model: WinterGoddess-1.4x-70B-L2
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layer_range: [30, 50]
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- sources:
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- model: MiquMaid-v1-70B
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layer_range: [40, 60]
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- sources:
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- model: WinterGoddess-1.4x-70B-L2
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layer_range: [50, 70]
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- sources:
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- model: MiquMaid-v1-70B
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layer_range: [60, 80]
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dtype: float16
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tokenizer_source: model:MiquMaid-v1-70B
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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4 |
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"lstrip": false,
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5 |
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"normalized": false,
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6 |
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"rstrip": false,
|
7 |
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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12 |
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"normalized": false,
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13 |
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"rstrip": false,
|
14 |
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"single_word": false
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},
|
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"pad_token": {
|
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
23 |
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"unk_token": {
|
24 |
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"content": "<unk>",
|
25 |
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"lstrip": false,
|
26 |
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"normalized": false,
|
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"rstrip": false,
|
28 |
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"single_word": false
|
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}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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3 |
+
size 499723
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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1 |
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{
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"add_bos_token": true,
|
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
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6 |
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"content": "<unk>",
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
11 |
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"special": true
|
12 |
+
},
|
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"1": {
|
14 |
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"content": "<s>",
|
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"lstrip": false,
|
16 |
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"normalized": false,
|
17 |
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
20 |
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},
|
21 |
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
27 |
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"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
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"clean_up_tokenization_spaces": false,
|
32 |
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"eos_token": "</s>",
|
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"legacy": false,
|
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"model_max_length": 1000000000000000019884624838656,
|
35 |
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"pad_token": "<unk>",
|
36 |
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"sp_model_kwargs": {},
|
37 |
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"spaces_between_special_tokens": false,
|
38 |
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"tokenizer_class": "LlamaTokenizer",
|
39 |
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"trust_remote_code": false,
|
40 |
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"unk_token": "<unk>",
|
41 |
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"use_default_system_prompt": false,
|
42 |
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"use_fast": true
|
43 |
+
}
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