Text Generation
Transformers
Safetensors
Portuguese
llama
text-generation-inference
Eval Results (legacy)
Instructions to use Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B") model = AutoModelForCausalLM.from_pretrained("Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B
- SGLang
How to use Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B with Docker Model Runner:
docker model run hf.co/Polygl0t/GigaVerbo-v2-ablation-Synth-1.5B
Upload folder using huggingface_hub
Browse files- added_tokens.json +45 -0
- config.json +32 -0
- evals.yaml +190 -0
- generation_config.json +14 -0
- model.safetensors +3 -0
- special_tokens_map.json +74 -0
- tokenizer.json +0 -0
- tokenizer_config.json +437 -0
added_tokens.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
" ": 49151,
|
| 3 |
+
" ": 49150,
|
| 4 |
+
" ": 49149,
|
| 5 |
+
" ": 49148,
|
| 6 |
+
" ": 49147,
|
| 7 |
+
" ": 49146,
|
| 8 |
+
" ": 49145,
|
| 9 |
+
" ": 49144,
|
| 10 |
+
" ": 49143,
|
| 11 |
+
" ": 49142,
|
| 12 |
+
" ": 49141,
|
| 13 |
+
" ": 49140,
|
| 14 |
+
" ": 49139,
|
| 15 |
+
" ": 49138,
|
| 16 |
+
" ": 49137,
|
| 17 |
+
" ": 49136,
|
| 18 |
+
" ": 49135,
|
| 19 |
+
" ": 49134,
|
| 20 |
+
" ": 49133,
|
| 21 |
+
" ": 49132,
|
| 22 |
+
" ": 49131,
|
| 23 |
+
" ": 49130,
|
| 24 |
+
" ": 49129,
|
| 25 |
+
"</answer>": 49119,
|
| 26 |
+
"</context>": 49121,
|
| 27 |
+
"</think>": 49117,
|
| 28 |
+
"</tool_call>": 49113,
|
| 29 |
+
"</tool_response>": 49115,
|
| 30 |
+
"</tools>": 49111,
|
| 31 |
+
"<answer>": 49118,
|
| 32 |
+
"<context>": 49120,
|
| 33 |
+
"<think>": 49116,
|
| 34 |
+
"<tool_call>": 49112,
|
| 35 |
+
"<tool_response>": 49114,
|
| 36 |
+
"<tools>": 49110,
|
| 37 |
+
"<|fim_middle|>": 49124,
|
| 38 |
+
"<|fim_prefix|>": 49122,
|
| 39 |
+
"<|fim_suffix|>": 49123,
|
| 40 |
+
"<|image_pad|>": 49127,
|
| 41 |
+
"<|image_placeholder|>": 49128,
|
| 42 |
+
"<|image|>": 49126,
|
| 43 |
+
"<|pad|>": 49109,
|
| 44 |
+
"<|repo_name|>": 49125
|
| 45 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 2048,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 6144,
|
| 14 |
+
"is_llama_config": true,
|
| 15 |
+
"max_position_embeddings": 4096,
|
| 16 |
+
"mlp_bias": false,
|
| 17 |
+
"model_type": "llama",
|
| 18 |
+
"num_attention_heads": 16,
|
| 19 |
+
"num_hidden_layers": 28,
|
| 20 |
+
"num_key_value_heads": 8,
|
| 21 |
+
"pad_token_id": 49109,
|
| 22 |
+
"pretraining_tp": 1,
|
| 23 |
+
"rms_norm_eps": 1e-06,
|
| 24 |
+
"rope_interleaved": false,
|
| 25 |
+
"rope_scaling": null,
|
| 26 |
+
"rope_theta": 50000.0,
|
| 27 |
+
"tie_word_embeddings": true,
|
| 28 |
+
"torch_dtype": "bfloat16",
|
| 29 |
+
"transformers_version": "4.53.2",
|
| 30 |
+
"use_cache": false,
|
| 31 |
+
"vocab_size": 49152
|
| 32 |
+
}
|
evals.yaml
ADDED
|
@@ -0,0 +1,190 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
evaluations:
|
| 2 |
+
arc_challenge_poly_pt_acc: 0.3034188034188034
|
| 3 |
+
arc_challenge_poly_pt_acc_norm: 0.32564102564102565
|
| 4 |
+
arc_challenge_poly_pt_acc_norm_stderr: 0.013705909887142202
|
| 5 |
+
arc_challenge_poly_pt_acc_stderr: 0.013446209191343464
|
| 6 |
+
arc_challenge_poly_pt_alias: arc_challenge_poly_pt
|
| 7 |
+
assin2_rte_acc,all: 0.49550653594771243
|
| 8 |
+
assin2_rte_acc_stderr,all: 0.007161632447060184
|
| 9 |
+
assin2_rte_alias: assin2_rte
|
| 10 |
+
assin2_rte_f1_macro,all: 0.39225947373298437
|
| 11 |
+
assin2_rte_f1_macro_stderr,all: 0.006052346943009515
|
| 12 |
+
assin2_sts_alias: assin2_sts
|
| 13 |
+
assin2_sts_mse,all: 2.660600490196079
|
| 14 |
+
assin2_sts_mse_stderr,all: N/A
|
| 15 |
+
assin2_sts_pearson,all: 0.2148458953200812
|
| 16 |
+
assin2_sts_pearson_stderr,all: 0.013898569061894066
|
| 17 |
+
assin_entailment_acc: 0.5035
|
| 18 |
+
assin_entailment_acc_stderr: 0.007906488831422602
|
| 19 |
+
assin_entailment_alias: assin_entailment
|
| 20 |
+
assin_paraphrase_acc: 0.6565
|
| 21 |
+
assin_paraphrase_acc_stderr: 0.007509396464351494
|
| 22 |
+
assin_paraphrase_alias: assin_paraphrase
|
| 23 |
+
belebele_por_Latn_acc: 0.2733333333333333
|
| 24 |
+
belebele_por_Latn_acc_norm: 0.2733333333333333
|
| 25 |
+
belebele_por_Latn_acc_norm_stderr: 0.014863944409417502
|
| 26 |
+
belebele_por_Latn_acc_stderr: 0.014863944409417502
|
| 27 |
+
belebele_por_Latn_alias: belebele_por_Latn
|
| 28 |
+
bluex_acc,all: 0.23783031988873435
|
| 29 |
+
bluex_acc,exam_id__UNICAMP_2018: 0.24074074074074073
|
| 30 |
+
bluex_acc,exam_id__UNICAMP_2019: 0.34
|
| 31 |
+
bluex_acc,exam_id__UNICAMP_2020: 0.2727272727272727
|
| 32 |
+
bluex_acc,exam_id__UNICAMP_2021_1: 0.10869565217391304
|
| 33 |
+
bluex_acc,exam_id__UNICAMP_2021_2: 0.3137254901960784
|
| 34 |
+
bluex_acc,exam_id__UNICAMP_2022: 0.20512820512820512
|
| 35 |
+
bluex_acc,exam_id__UNICAMP_2023: 0.3953488372093023
|
| 36 |
+
bluex_acc,exam_id__UNICAMP_2024: 0.28888888888888886
|
| 37 |
+
bluex_acc,exam_id__USP_2018: 0.18518518518518517
|
| 38 |
+
bluex_acc,exam_id__USP_2019: 0.2
|
| 39 |
+
bluex_acc,exam_id__USP_2020: 0.19642857142857142
|
| 40 |
+
bluex_acc,exam_id__USP_2021: 0.28846153846153844
|
| 41 |
+
bluex_acc,exam_id__USP_2022: 0.14285714285714285
|
| 42 |
+
bluex_acc,exam_id__USP_2023: 0.22727272727272727
|
| 43 |
+
bluex_acc,exam_id__USP_2024: 0.14634146341463414
|
| 44 |
+
bluex_acc_stderr,all: 0.009180502079837468
|
| 45 |
+
bluex_acc_stderr,exam_id__UNICAMP_2018: 0.03357236031259842
|
| 46 |
+
bluex_acc_stderr,exam_id__UNICAMP_2019: 0.03871868636296179
|
| 47 |
+
bluex_acc_stderr,exam_id__UNICAMP_2020: 0.034624246043716285
|
| 48 |
+
bluex_acc_stderr,exam_id__UNICAMP_2021_1: 0.02653632676838462
|
| 49 |
+
bluex_acc_stderr,exam_id__UNICAMP_2021_2: 0.03758901266085253
|
| 50 |
+
bluex_acc_stderr,exam_id__UNICAMP_2022: 0.03733550664917063
|
| 51 |
+
bluex_acc_stderr,exam_id__UNICAMP_2023: 0.04286792084312051
|
| 52 |
+
bluex_acc_stderr,exam_id__UNICAMP_2024: 0.03898294466911919
|
| 53 |
+
bluex_acc_stderr,exam_id__USP_2018: 0.03047487904733902
|
| 54 |
+
bluex_acc_stderr,exam_id__USP_2019: 0.03655034763250411
|
| 55 |
+
bluex_acc_stderr,exam_id__USP_2020: 0.030710584372441754
|
| 56 |
+
bluex_acc_stderr,exam_id__USP_2021: 0.03641695834309908
|
| 57 |
+
bluex_acc_stderr,exam_id__USP_2022: 0.028940786261222796
|
| 58 |
+
bluex_acc_stderr,exam_id__USP_2023: 0.036448438128444414
|
| 59 |
+
bluex_acc_stderr,exam_id__USP_2024: 0.03183638867903787
|
| 60 |
+
bluex_alias: bluex
|
| 61 |
+
calame_pt_acc: 0.5611753371868978
|
| 62 |
+
calame_pt_acc_stderr: 0.010893959376702221
|
| 63 |
+
calame_pt_alias: calame_pt
|
| 64 |
+
calame_pt_perplexity: 11.081119797769698
|
| 65 |
+
calame_pt_perplexity_stderr: 0.8507255221732782
|
| 66 |
+
enem_challenge_acc,all: 0.23023093072078377
|
| 67 |
+
enem_challenge_acc,exam_id__2009: 0.21739130434782608
|
| 68 |
+
enem_challenge_acc,exam_id__2010: 0.20512820512820512
|
| 69 |
+
enem_challenge_acc,exam_id__2011: 0.21367521367521367
|
| 70 |
+
enem_challenge_acc,exam_id__2012: 0.19827586206896552
|
| 71 |
+
enem_challenge_acc,exam_id__2013: 0.3055555555555556
|
| 72 |
+
enem_challenge_acc,exam_id__2014: 0.1743119266055046
|
| 73 |
+
enem_challenge_acc,exam_id__2015: 0.31932773109243695
|
| 74 |
+
enem_challenge_acc,exam_id__2016: 0.19008264462809918
|
| 75 |
+
enem_challenge_acc,exam_id__2016_2: 0.25203252032520324
|
| 76 |
+
enem_challenge_acc,exam_id__2017: 0.21551724137931033
|
| 77 |
+
enem_challenge_acc,exam_id__2022: 0.19548872180451127
|
| 78 |
+
enem_challenge_acc,exam_id__2023: 0.2740740740740741
|
| 79 |
+
enem_challenge_acc_stderr,all: 0.006452584805075603
|
| 80 |
+
enem_challenge_acc_stderr,exam_id__2009: 0.022200124485817433
|
| 81 |
+
enem_challenge_acc_stderr,exam_id__2010: 0.021505478091911806
|
| 82 |
+
enem_challenge_acc_stderr,exam_id__2011: 0.02191035348313933
|
| 83 |
+
enem_challenge_acc_stderr,exam_id__2012: 0.0213731581186071
|
| 84 |
+
enem_challenge_acc_stderr,exam_id__2013: 0.02558129315646034
|
| 85 |
+
enem_challenge_acc_stderr,exam_id__2014: 0.020945564199407546
|
| 86 |
+
enem_challenge_acc_stderr,exam_id__2015: 0.024705706231707848
|
| 87 |
+
enem_challenge_acc_stderr,exam_id__2016: 0.0205641096196576
|
| 88 |
+
enem_challenge_acc_stderr,exam_id__2016_2: 0.022527285910525656
|
| 89 |
+
enem_challenge_acc_stderr,exam_id__2017: 0.02202285771241114
|
| 90 |
+
enem_challenge_acc_stderr,exam_id__2022: 0.01978570355082206
|
| 91 |
+
enem_challenge_acc_stderr,exam_id__2023: 0.022151269839012434
|
| 92 |
+
enem_challenge_alias: enem
|
| 93 |
+
faquad_nli_acc,all: 0.7846153846153846
|
| 94 |
+
faquad_nli_acc_stderr,all: 0.011396120309131366
|
| 95 |
+
faquad_nli_alias: faquad_nli
|
| 96 |
+
faquad_nli_f1_macro,all: 0.4396551724137931
|
| 97 |
+
faquad_nli_f1_macro_stderr,all: 0.00357969847290883
|
| 98 |
+
global_piqa_completions_por_latn_braz_acc: 0.73
|
| 99 |
+
global_piqa_completions_por_latn_braz_acc_bytes: 0.73
|
| 100 |
+
global_piqa_completions_por_latn_braz_acc_bytes_stderr: 0.04461960433384737
|
| 101 |
+
global_piqa_completions_por_latn_braz_acc_norm: 0.72
|
| 102 |
+
global_piqa_completions_por_latn_braz_acc_norm_stderr: 0.045126085985421296
|
| 103 |
+
global_piqa_completions_por_latn_braz_acc_stderr: 0.04461960433384737
|
| 104 |
+
global_piqa_completions_por_latn_braz_alias: global_piqa_completions_por_latn_braz
|
| 105 |
+
hatebr_offensive_acc,all: 0.535
|
| 106 |
+
hatebr_offensive_acc_stderr,all: 0.00946933415805255
|
| 107 |
+
hatebr_offensive_alias: hatebr_offensive_binary
|
| 108 |
+
hatebr_offensive_f1_macro,all: 0.4986442932419297
|
| 109 |
+
hatebr_offensive_f1_macro_stderr,all: 0.009472946693655268
|
| 110 |
+
hellaswag_poly_pt_acc: 0.35193412070646873
|
| 111 |
+
hellaswag_poly_pt_acc_norm: 0.43926752627586957
|
| 112 |
+
hellaswag_poly_pt_acc_norm_stderr: 0.005166406931353431
|
| 113 |
+
hellaswag_poly_pt_acc_stderr: 0.004971488882718327
|
| 114 |
+
hellaswag_poly_pt_alias: hellaswag_poly_pt
|
| 115 |
+
lambada_poly_pt_acc: 0.3388317484960217
|
| 116 |
+
lambada_poly_pt_acc_stderr: 0.006594169660148477
|
| 117 |
+
lambada_poly_pt_alias: lambada_poly_pt
|
| 118 |
+
lambada_poly_pt_perplexity: 33.6673393665592
|
| 119 |
+
lambada_poly_pt_perplexity_stderr: 1.3109466933901732
|
| 120 |
+
mmlu_poly_pt_acc: 0.2695887120984689
|
| 121 |
+
mmlu_poly_pt_acc_stderr: 0.0038444443276646535
|
| 122 |
+
mmlu_poly_pt_alias: mmlu_poly_pt
|
| 123 |
+
oab_exams_acc,all: 0.2592255125284738
|
| 124 |
+
oab_exams_acc,exam_id__2010-01: 0.2823529411764706
|
| 125 |
+
oab_exams_acc,exam_id__2010-02: 0.21
|
| 126 |
+
oab_exams_acc,exam_id__2011-03: 0.25252525252525254
|
| 127 |
+
oab_exams_acc,exam_id__2011-04: 0.275
|
| 128 |
+
oab_exams_acc,exam_id__2011-05: 0.2375
|
| 129 |
+
oab_exams_acc,exam_id__2012-06: 0.2625
|
| 130 |
+
oab_exams_acc,exam_id__2012-06a: 0.2375
|
| 131 |
+
oab_exams_acc,exam_id__2012-07: 0.3625
|
| 132 |
+
oab_exams_acc,exam_id__2012-08: 0.2625
|
| 133 |
+
oab_exams_acc,exam_id__2012-09: 0.2597402597402597
|
| 134 |
+
oab_exams_acc,exam_id__2013-10: 0.1625
|
| 135 |
+
oab_exams_acc,exam_id__2013-11: 0.3
|
| 136 |
+
oab_exams_acc,exam_id__2013-12: 0.25
|
| 137 |
+
oab_exams_acc,exam_id__2014-13: 0.2625
|
| 138 |
+
oab_exams_acc,exam_id__2014-14: 0.375
|
| 139 |
+
oab_exams_acc,exam_id__2014-15: 0.2948717948717949
|
| 140 |
+
oab_exams_acc,exam_id__2015-16: 0.2125
|
| 141 |
+
oab_exams_acc,exam_id__2015-17: 0.2564102564102564
|
| 142 |
+
oab_exams_acc,exam_id__2015-18: 0.2125
|
| 143 |
+
oab_exams_acc,exam_id__2016-19: 0.2692307692307692
|
| 144 |
+
oab_exams_acc,exam_id__2016-20: 0.2
|
| 145 |
+
oab_exams_acc,exam_id__2016-20a: 0.2
|
| 146 |
+
oab_exams_acc,exam_id__2016-21: 0.3
|
| 147 |
+
oab_exams_acc,exam_id__2017-22: 0.2375
|
| 148 |
+
oab_exams_acc,exam_id__2017-23: 0.25
|
| 149 |
+
oab_exams_acc,exam_id__2017-24: 0.2625
|
| 150 |
+
oab_exams_acc,exam_id__2018-25: 0.325
|
| 151 |
+
oab_exams_acc_stderr,all: 0.005416528564580985
|
| 152 |
+
oab_exams_acc_stderr,exam_id__2010-01: 0.028174121226509266
|
| 153 |
+
oab_exams_acc_stderr,exam_id__2010-02: 0.023512908105304108
|
| 154 |
+
oab_exams_acc_stderr,exam_id__2011-03: 0.025205143471018352
|
| 155 |
+
oab_exams_acc_stderr,exam_id__2011-04: 0.02876970081837964
|
| 156 |
+
oab_exams_acc_stderr,exam_id__2011-05: 0.027412150990991712
|
| 157 |
+
oab_exams_acc_stderr,exam_id__2012-06: 0.028332826332428174
|
| 158 |
+
oab_exams_acc_stderr,exam_id__2012-06a: 0.027372775452882293
|
| 159 |
+
oab_exams_acc_stderr,exam_id__2012-07: 0.031197782924965372
|
| 160 |
+
oab_exams_acc_stderr,exam_id__2012-08: 0.028266423544104552
|
| 161 |
+
oab_exams_acc_stderr,exam_id__2012-09: 0.028914985129938155
|
| 162 |
+
oab_exams_acc_stderr,exam_id__2013-10: 0.023844917945490186
|
| 163 |
+
oab_exams_acc_stderr,exam_id__2013-11: 0.02958436668685766
|
| 164 |
+
oab_exams_acc_stderr,exam_id__2013-12: 0.028007197131130823
|
| 165 |
+
oab_exams_acc_stderr,exam_id__2014-13: 0.028352135845047022
|
| 166 |
+
oab_exams_acc_stderr,exam_id__2014-14: 0.03119210115334702
|
| 167 |
+
oab_exams_acc_stderr,exam_id__2014-15: 0.029792777263781055
|
| 168 |
+
oab_exams_acc_stderr,exam_id__2015-16: 0.02648742610607097
|
| 169 |
+
oab_exams_acc_stderr,exam_id__2015-17: 0.028572134705007562
|
| 170 |
+
oab_exams_acc_stderr,exam_id__2015-18: 0.026310452589845126
|
| 171 |
+
oab_exams_acc_stderr,exam_id__2016-19: 0.02891678275950995
|
| 172 |
+
oab_exams_acc_stderr,exam_id__2016-20: 0.025714242907505878
|
| 173 |
+
oab_exams_acc_stderr,exam_id__2016-20a: 0.025887233921239393
|
| 174 |
+
oab_exams_acc_stderr,exam_id__2016-21: 0.029513857628589144
|
| 175 |
+
oab_exams_acc_stderr,exam_id__2017-22: 0.02752892017641432
|
| 176 |
+
oab_exams_acc_stderr,exam_id__2017-23: 0.027899920647540464
|
| 177 |
+
oab_exams_acc_stderr,exam_id__2017-24: 0.028391598033779684
|
| 178 |
+
oab_exams_acc_stderr,exam_id__2018-25: 0.03026049626006088
|
| 179 |
+
oab_exams_alias: oab_exams
|
| 180 |
+
portuguese_hate_speech_acc,all: 0.6392479435957696
|
| 181 |
+
portuguese_hate_speech_acc_stderr,all: 0.011617512312881497
|
| 182 |
+
portuguese_hate_speech_alias: portuguese_hate_speech_binary
|
| 183 |
+
portuguese_hate_speech_f1_macro,all: 0.5458019314852965
|
| 184 |
+
portuguese_hate_speech_f1_macro_stderr,all: 0.012551468345788727
|
| 185 |
+
tweetsentbr_acc,all: 0.3034825870646766
|
| 186 |
+
tweetsentbr_acc_stderr,all: 0.007247347058112842
|
| 187 |
+
tweetsentbr_alias: tweetsentbr
|
| 188 |
+
tweetsentbr_f1_macro,all: 0.26402315517625063
|
| 189 |
+
tweetsentbr_f1_macro_stderr,all: 0.00564226151141287
|
| 190 |
+
step: 22000
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 2,
|
| 4 |
+
"pad_token_id": 49109,
|
| 5 |
+
"transformers_version": "4.53.2",
|
| 6 |
+
"do_sample": true,
|
| 7 |
+
"max_new_tokens": 1024,
|
| 8 |
+
"renormalize_logits": true,
|
| 9 |
+
"repetition_penalty": 1.2,
|
| 10 |
+
"temperature": 0.1,
|
| 11 |
+
"top_k": 50,
|
| 12 |
+
"top_p": 1.0,
|
| 13 |
+
"use_cache": false
|
| 14 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:739514e45248947f7c96e2d6ecc21f68c3ae712e07f1dcfed877f56ce9ed07d6
|
| 3 |
+
size 3020161696
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<tools>",
|
| 4 |
+
"</tools>",
|
| 5 |
+
"<tool_call>",
|
| 6 |
+
"</tool_call>",
|
| 7 |
+
"<tool_response>",
|
| 8 |
+
"</tool_response>",
|
| 9 |
+
"<think>",
|
| 10 |
+
"</think>",
|
| 11 |
+
"<answer>",
|
| 12 |
+
"</answer>",
|
| 13 |
+
"<context>",
|
| 14 |
+
"</context>",
|
| 15 |
+
"<|fim_prefix|>",
|
| 16 |
+
"<|fim_suffix|>",
|
| 17 |
+
"<|fim_middle|>",
|
| 18 |
+
"<|repo_name|>",
|
| 19 |
+
"<|image|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|image_placeholder|>",
|
| 22 |
+
" ",
|
| 23 |
+
" ",
|
| 24 |
+
" ",
|
| 25 |
+
" ",
|
| 26 |
+
" ",
|
| 27 |
+
" ",
|
| 28 |
+
" ",
|
| 29 |
+
" ",
|
| 30 |
+
" ",
|
| 31 |
+
" ",
|
| 32 |
+
" ",
|
| 33 |
+
" ",
|
| 34 |
+
" ",
|
| 35 |
+
" ",
|
| 36 |
+
" ",
|
| 37 |
+
" ",
|
| 38 |
+
" ",
|
| 39 |
+
" ",
|
| 40 |
+
" ",
|
| 41 |
+
" ",
|
| 42 |
+
" ",
|
| 43 |
+
" ",
|
| 44 |
+
" "
|
| 45 |
+
],
|
| 46 |
+
"bos_token": {
|
| 47 |
+
"content": "<|im_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false
|
| 52 |
+
},
|
| 53 |
+
"eos_token": {
|
| 54 |
+
"content": "<|im_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false
|
| 59 |
+
},
|
| 60 |
+
"pad_token": {
|
| 61 |
+
"content": "<|pad|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false
|
| 66 |
+
},
|
| 67 |
+
"unk_token": {
|
| 68 |
+
"content": "<|unk|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false
|
| 73 |
+
}
|
| 74 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,437 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<|unk|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"49109": {
|
| 31 |
+
"content": "<|pad|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"49110": {
|
| 39 |
+
"content": "<tools>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"49111": {
|
| 47 |
+
"content": "</tools>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"49112": {
|
| 55 |
+
"content": "<tool_call>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"49113": {
|
| 63 |
+
"content": "</tool_call>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"49114": {
|
| 71 |
+
"content": "<tool_response>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"49115": {
|
| 79 |
+
"content": "</tool_response>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"49116": {
|
| 87 |
+
"content": "<think>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"49117": {
|
| 95 |
+
"content": "</think>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"49118": {
|
| 103 |
+
"content": "<answer>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"49119": {
|
| 111 |
+
"content": "</answer>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"49120": {
|
| 119 |
+
"content": "<context>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": true
|
| 125 |
+
},
|
| 126 |
+
"49121": {
|
| 127 |
+
"content": "</context>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": true
|
| 133 |
+
},
|
| 134 |
+
"49122": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": true
|
| 141 |
+
},
|
| 142 |
+
"49123": {
|
| 143 |
+
"content": "<|fim_suffix|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": true
|
| 149 |
+
},
|
| 150 |
+
"49124": {
|
| 151 |
+
"content": "<|fim_middle|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": true
|
| 157 |
+
},
|
| 158 |
+
"49125": {
|
| 159 |
+
"content": "<|repo_name|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": true
|
| 165 |
+
},
|
| 166 |
+
"49126": {
|
| 167 |
+
"content": "<|image|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": true
|
| 173 |
+
},
|
| 174 |
+
"49127": {
|
| 175 |
+
"content": "<|image_pad|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": true
|
| 181 |
+
},
|
| 182 |
+
"49128": {
|
| 183 |
+
"content": "<|image_placeholder|>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": true
|
| 189 |
+
},
|
| 190 |
+
"49129": {
|
| 191 |
+
"content": " ",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": true
|
| 197 |
+
},
|
| 198 |
+
"49130": {
|
| 199 |
+
"content": " ",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": true
|
| 205 |
+
},
|
| 206 |
+
"49131": {
|
| 207 |
+
"content": " ",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": true
|
| 213 |
+
},
|
| 214 |
+
"49132": {
|
| 215 |
+
"content": " ",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"49133": {
|
| 223 |
+
"content": " ",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"49134": {
|
| 231 |
+
"content": " ",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"49135": {
|
| 239 |
+
"content": " ",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"49136": {
|
| 247 |
+
"content": " ",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"49137": {
|
| 255 |
+
"content": " ",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"49138": {
|
| 263 |
+
"content": " ",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"49139": {
|
| 271 |
+
"content": " ",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"49140": {
|
| 279 |
+
"content": " ",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
},
|
| 286 |
+
"49141": {
|
| 287 |
+
"content": " ",
|
| 288 |
+
"lstrip": false,
|
| 289 |
+
"normalized": false,
|
| 290 |
+
"rstrip": false,
|
| 291 |
+
"single_word": false,
|
| 292 |
+
"special": true
|
| 293 |
+
},
|
| 294 |
+
"49142": {
|
| 295 |
+
"content": " ",
|
| 296 |
+
"lstrip": false,
|
| 297 |
+
"normalized": false,
|
| 298 |
+
"rstrip": false,
|
| 299 |
+
"single_word": false,
|
| 300 |
+
"special": true
|
| 301 |
+
},
|
| 302 |
+
"49143": {
|
| 303 |
+
"content": " ",
|
| 304 |
+
"lstrip": false,
|
| 305 |
+
"normalized": false,
|
| 306 |
+
"rstrip": false,
|
| 307 |
+
"single_word": false,
|
| 308 |
+
"special": true
|
| 309 |
+
},
|
| 310 |
+
"49144": {
|
| 311 |
+
"content": " ",
|
| 312 |
+
"lstrip": false,
|
| 313 |
+
"normalized": false,
|
| 314 |
+
"rstrip": false,
|
| 315 |
+
"single_word": false,
|
| 316 |
+
"special": true
|
| 317 |
+
},
|
| 318 |
+
"49145": {
|
| 319 |
+
"content": " ",
|
| 320 |
+
"lstrip": false,
|
| 321 |
+
"normalized": false,
|
| 322 |
+
"rstrip": false,
|
| 323 |
+
"single_word": false,
|
| 324 |
+
"special": true
|
| 325 |
+
},
|
| 326 |
+
"49146": {
|
| 327 |
+
"content": " ",
|
| 328 |
+
"lstrip": false,
|
| 329 |
+
"normalized": false,
|
| 330 |
+
"rstrip": false,
|
| 331 |
+
"single_word": false,
|
| 332 |
+
"special": true
|
| 333 |
+
},
|
| 334 |
+
"49147": {
|
| 335 |
+
"content": " ",
|
| 336 |
+
"lstrip": false,
|
| 337 |
+
"normalized": false,
|
| 338 |
+
"rstrip": false,
|
| 339 |
+
"single_word": false,
|
| 340 |
+
"special": true
|
| 341 |
+
},
|
| 342 |
+
"49148": {
|
| 343 |
+
"content": " ",
|
| 344 |
+
"lstrip": false,
|
| 345 |
+
"normalized": false,
|
| 346 |
+
"rstrip": false,
|
| 347 |
+
"single_word": false,
|
| 348 |
+
"special": true
|
| 349 |
+
},
|
| 350 |
+
"49149": {
|
| 351 |
+
"content": " ",
|
| 352 |
+
"lstrip": false,
|
| 353 |
+
"normalized": false,
|
| 354 |
+
"rstrip": false,
|
| 355 |
+
"single_word": false,
|
| 356 |
+
"special": true
|
| 357 |
+
},
|
| 358 |
+
"49150": {
|
| 359 |
+
"content": " ",
|
| 360 |
+
"lstrip": false,
|
| 361 |
+
"normalized": false,
|
| 362 |
+
"rstrip": false,
|
| 363 |
+
"single_word": false,
|
| 364 |
+
"special": true
|
| 365 |
+
},
|
| 366 |
+
"49151": {
|
| 367 |
+
"content": " ",
|
| 368 |
+
"lstrip": false,
|
| 369 |
+
"normalized": false,
|
| 370 |
+
"rstrip": false,
|
| 371 |
+
"single_word": false,
|
| 372 |
+
"special": true
|
| 373 |
+
}
|
| 374 |
+
},
|
| 375 |
+
"additional_special_tokens": [
|
| 376 |
+
"<tools>",
|
| 377 |
+
"</tools>",
|
| 378 |
+
"<tool_call>",
|
| 379 |
+
"</tool_call>",
|
| 380 |
+
"<tool_response>",
|
| 381 |
+
"</tool_response>",
|
| 382 |
+
"<think>",
|
| 383 |
+
"</think>",
|
| 384 |
+
"<answer>",
|
| 385 |
+
"</answer>",
|
| 386 |
+
"<context>",
|
| 387 |
+
"</context>",
|
| 388 |
+
"<|fim_prefix|>",
|
| 389 |
+
"<|fim_suffix|>",
|
| 390 |
+
"<|fim_middle|>",
|
| 391 |
+
"<|repo_name|>",
|
| 392 |
+
"<|image|>",
|
| 393 |
+
"<|image_pad|>",
|
| 394 |
+
"<|image_placeholder|>",
|
| 395 |
+
" ",
|
| 396 |
+
" ",
|
| 397 |
+
" ",
|
| 398 |
+
" ",
|
| 399 |
+
" ",
|
| 400 |
+
" ",
|
| 401 |
+
" ",
|
| 402 |
+
" ",
|
| 403 |
+
" ",
|
| 404 |
+
" ",
|
| 405 |
+
" ",
|
| 406 |
+
" ",
|
| 407 |
+
" ",
|
| 408 |
+
" ",
|
| 409 |
+
" ",
|
| 410 |
+
" ",
|
| 411 |
+
" ",
|
| 412 |
+
" ",
|
| 413 |
+
" ",
|
| 414 |
+
" ",
|
| 415 |
+
" ",
|
| 416 |
+
" ",
|
| 417 |
+
" "
|
| 418 |
+
],
|
| 419 |
+
"bos_token": "<|im_start|>",
|
| 420 |
+
"bos_token_id": 1,
|
| 421 |
+
"clean_up_tokenization_spaces": false,
|
| 422 |
+
"eos_token": "<|im_end|>",
|
| 423 |
+
"eos_token_id": 2,
|
| 424 |
+
"extra_special_tokens": {},
|
| 425 |
+
"legacy": false,
|
| 426 |
+
"model_max_length": 4096,
|
| 427 |
+
"pad_token": "<|pad|>",
|
| 428 |
+
"pad_token_id": 49109,
|
| 429 |
+
"padding_side": "right",
|
| 430 |
+
"sp_model_kwargs": {},
|
| 431 |
+
"spaces_between_special_tokens": false,
|
| 432 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 433 |
+
"truncation_side": "right",
|
| 434 |
+
"unk_token": "<|unk|>",
|
| 435 |
+
"unk_token_id": 0,
|
| 436 |
+
"use_default_system_prompt": false
|
| 437 |
+
}
|