modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
hw2942/chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-11 | 2023-10-12T04:40:17.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-11 | 0 | 2 | transformers | 2023-10-12T04:33:34 | ---
license: apache-2.0
base_model: hfl/chinese-roberta-wwm-ext
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-11
results: []
---
<!-- This model card has been generated automatically according to the information the Traine... | 2,029 | [
[
-0.0290374755859375,
-0.042816162109375,
0.00598907470703125,
0.0126495361328125,
-0.02178955078125,
-0.0256195068359375,
-0.0142364501953125,
-0.0223846435546875,
0.00528717041015625,
0.020843505859375,
-0.0556640625,
-0.048126220703125,
-0.0457763671875,
-... |
hw2942/chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-12 | 2023-10-12T04:51:20.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-12 | 0 | 2 | transformers | 2023-10-12T04:44:34 | ---
license: apache-2.0
base_model: hfl/chinese-roberta-wwm-ext
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-f1-12
results: []
---
<!-- This model card has been generated automatically according to the information the Traine... | 2,029 | [
[
-0.027130126953125,
-0.044036865234375,
0.005828857421875,
0.01361846923828125,
-0.025634765625,
-0.0264434814453125,
-0.01457977294921875,
-0.0223846435546875,
0.00339508056640625,
0.02008056640625,
-0.055816650390625,
-0.048858642578125,
-0.047088623046875,
... |
maybe1991/my_awesome_wnut_model | 2023-10-13T08:22:35.000Z | [
"transformers",
"tf",
"distilbert",
"token-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | maybe1991 | null | null | maybe1991/my_awesome_wnut_model | 0 | 2 | transformers | 2023-10-12T06:15:10 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: maybe1991/my_awesome_wnut_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it,... | 2,073 | [
[
-0.04730224609375,
-0.0390625,
0.019622802734375,
0.0007047653198242188,
-0.023529052734375,
-0.018310546875,
-0.00891876220703125,
-0.0199737548828125,
0.01428985595703125,
0.006618499755859375,
-0.04254150390625,
-0.048614501953125,
-0.05950927734375,
-0.0... |
Ketak-ZoomRx/drugs_model_v1_pythia | 2023-10-12T07:34:12.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"en",
"text-generation-inference",
"region:us"
] | text-generation | Ketak-ZoomRx | null | null | Ketak-ZoomRx/drugs_model_v1_pythia | 0 | 2 | transformers | 2023-10-12T07:33:32 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
---
# Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/... | 7,769 | [
[
-0.0162506103515625,
-0.060577392578125,
0.033203125,
0.009552001953125,
-0.021514892578125,
-0.01399993896484375,
-0.02386474609375,
-0.0166168212890625,
0.00998687744140625,
0.024810791015625,
-0.03173828125,
-0.040496826171875,
-0.048126220703125,
-0.0016... |
RogerB/afro-xlmr-large-kin-tweets-senti-finetuned | 2023-10-12T12:00:59.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | RogerB | null | null | RogerB/afro-xlmr-large-kin-tweets-senti-finetuned | 0 | 2 | transformers | 2023-10-12T08:39:47 | ---
license: mit
base_model: RogerB/afro-xlmr-large-kinte-domain-kinte-task
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: afro-xlmr-large-kinte-domain-kinte-task-unkin-sent4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access t... | 1,610 | [
[
-0.037384033203125,
-0.0443115234375,
0.019561767578125,
0.0005269050598144531,
-0.022491455078125,
-0.0186614990234375,
-0.01245880126953125,
-0.0157318115234375,
0.017669677734375,
0.038177490234375,
-0.05548095703125,
-0.044891357421875,
-0.052215576171875,
... |
Tiabet/Tiabet-TFkoGPT-complete_story-epoch-3 | 2023-10-15T15:04:42.000Z | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Tiabet | null | null | Tiabet/Tiabet-TFkoGPT-complete_story-epoch-3 | 0 | 2 | transformers | 2023-10-12T09:13:45 | ---
license: cc-by-nc-sa-4.0
base_model: skt/kogpt2-base-v2
tags:
- generated_from_keras_callback
model-index:
- name: Tiabet-TFkoGPT-complete_story-epoch-3
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and comple... | 1,014 | [
[
-0.0268707275390625,
-0.04608154296875,
0.032196044921875,
0.0009455680847167969,
-0.061798095703125,
-0.0150909423828125,
0.0012645721435546875,
-0.035919189453125,
0.00243377685546875,
0.031005859375,
-0.03900146484375,
-0.0380859375,
-0.060699462890625,
-... |
Tommert25/multibert_1210seed25 | 2023-10-12T10:45:09.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/multibert_1210seed25 | 0 | 2 | transformers | 2023-10-12T10:37:04 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: multibert_1210seed25
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 2,823 | [
[
-0.04443359375,
-0.038970947265625,
0.013336181640625,
0.01161956787109375,
-0.00954437255859375,
-0.0128021240234375,
-0.0120391845703125,
-0.0145263671875,
0.032470703125,
0.0208587646484375,
-0.051483154296875,
-0.053497314453125,
-0.048797607421875,
-0.0... |
Tommert25/multibert_1210seed24 | 2023-10-12T10:59:56.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/multibert_1210seed24 | 0 | 2 | transformers | 2023-10-12T10:48:38 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: multibert_1210seed24
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 2,823 | [
[
-0.046722412109375,
-0.040069580078125,
0.011444091796875,
0.01178741455078125,
-0.00867462158203125,
-0.009368896484375,
-0.010650634765625,
-0.01021575927734375,
0.03662109375,
0.0218048095703125,
-0.052337646484375,
-0.050323486328125,
-0.04833984375,
-0.... |
Tommert25/multibert_1210seed85 | 2023-10-12T11:58:37.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/multibert_1210seed85 | 0 | 2 | transformers | 2023-10-12T11:50:49 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: multibert_1210seed85
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 2,823 | [
[
-0.0458984375,
-0.039947509765625,
0.013427734375,
0.012908935546875,
-0.0104217529296875,
-0.01311492919921875,
-0.01027679443359375,
-0.01197052001953125,
0.0357666015625,
0.021026611328125,
-0.0521240234375,
-0.0506591796875,
-0.048492431640625,
-0.012580... |
Tommert25/multibert_1210seed7 | 2023-10-12T12:09:16.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/multibert_1210seed7 | 0 | 2 | transformers | 2023-10-12T12:00:40 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: multibert_1210seed7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 2,820 | [
[
-0.0469970703125,
-0.03924560546875,
0.01120758056640625,
0.0120849609375,
-0.009246826171875,
-0.010284423828125,
-0.011016845703125,
-0.01039886474609375,
0.037322998046875,
0.021392822265625,
-0.051513671875,
-0.05035400390625,
-0.048187255859375,
-0.0133... |
Reangsy/my_awesome_billsum_model | 2023-10-12T13:21:19.000Z | [
"transformers",
"tf",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Reangsy | null | null | Reangsy/my_awesome_billsum_model | 0 | 2 | transformers | 2023-10-12T12:42:18 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Reangsy/my_awesome_billsum_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove t... | 1,243 | [
[
-0.03533935546875,
-0.045013427734375,
0.0238037109375,
-0.016998291015625,
-0.050384521484375,
-0.0277099609375,
0.0073089599609375,
-0.02471923828125,
0.027313232421875,
0.0322265625,
-0.035797119140625,
-0.04998779296875,
-0.05194091796875,
-0.01393127441... |
mie-zhz/distilbert-base-uncased-finetuned-imdb | 2023-10-12T13:06:22.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | mie-zhz | null | null | mie-zhz/distilbert-base-uncased-finetuned-imdb | 0 | 2 | transformers | 2023-10-12T12:53:54 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,465 | [
[
-0.040985107421875,
-0.043792724609375,
0.00928497314453125,
0.0068206787109375,
-0.03131103515625,
-0.0109710693359375,
-0.0013408660888671875,
0.00047278404235839844,
0.01163482666015625,
0.0269927978515625,
-0.057159423828125,
-0.03814697265625,
-0.0619506835... |
anyuanay/my_finetuned_wnut_model_1012 | 2023-10-12T14:13:46.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:wnut_17",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | anyuanay | null | null | anyuanay/my_finetuned_wnut_model_1012 | 0 | 2 | transformers | 2023-10-12T14:06:02 | ---
license: mit
base_model: dslim/bert-base-NER
tags:
- generated_from_trainer
datasets:
- wnut_17
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_finetuned_wnut_model_1012
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut_17
... | 2,141 | [
[
-0.0423583984375,
-0.040435791015625,
0.00348663330078125,
0.0071258544921875,
-0.0252227783203125,
-0.031707763671875,
-0.0215301513671875,
-0.02508544921875,
0.0054779052734375,
0.018585205078125,
-0.049957275390625,
-0.04595947265625,
-0.05218505859375,
-... |
TheBloke/FashionGPT-70B-v1.2-GGUF | 2023-10-12T18:02:05.000Z | [
"transformers",
"llama",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/FashionGPT-70B-v1.2-GGUF | 5 | 2 | transformers | 2023-10-12T15:31:35 | ---
base_model: ICBU-NPU/FashionGPT-70B-V1.2
inference: false
license: llama2
model_creator: ICBU-NPU
model_name: Fashiongpt 70B v1.2
model_type: llama
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img ... | 17,469 | [
[
-0.05303955078125,
-0.056121826171875,
0.01343536376953125,
0.03228759765625,
-0.041717529296875,
-0.00732421875,
0.004962921142578125,
-0.05108642578125,
0.036773681640625,
0.005283355712890625,
-0.07086181640625,
-0.044189453125,
-0.025177001953125,
-0.000... |
raghavsharma06/results | 2023-10-22T20:45:57.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | raghavsharma06 | null | null | raghavsharma06/results | 0 | 2 | transformers | 2023-10-12T16:18:32 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment... | 1,093 | [
[
-0.03271484375,
-0.05255126953125,
0.0108795166015625,
0.0185394287109375,
-0.03369140625,
-0.01465606689453125,
-0.01042938232421875,
-0.011688232421875,
0.00806427001953125,
0.0218505859375,
-0.05084228515625,
-0.04364013671875,
-0.05908203125,
-0.00047445... |
astrid01052/test-lora-lima-220 | 2023-10-12T18:02:28.000Z | [
"peft",
"region:us"
] | null | astrid01052 | null | null | astrid01052/test-lora-lima-220 | 0 | 2 | peft | 2023-10-12T17:59:21 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 795 | [
[
-0.04754638671875,
-0.04803466796875,
0.0241851806640625,
0.0343017578125,
-0.04119873046875,
0.005374908447265625,
0.006542205810546875,
-0.019622802734375,
-0.0113677978515625,
0.0264739990234375,
-0.04693603515625,
-0.01399993896484375,
-0.03851318359375,
... |
golightly/whisper-in-Hindi | 2023-10-12T19:31:32.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"generated_from_trainer",
"hi",
"dataset:mozilla-foundation/common_voice_11_0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | golightly | null | null | golightly/whisper-in-Hindi | 0 | 2 | transformers | 2023-10-12T18:05:08 | ---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Small Hi - Sanchit Gandhi
results: []
---
<!-- This model card has been generated automatically according to the in... | 1,420 | [
[
-0.0305938720703125,
-0.04400634765625,
0.014892578125,
0.0113983154296875,
-0.0279693603515625,
-0.042572021484375,
-0.02764892578125,
-0.030670166015625,
0.0120086669921875,
0.01861572265625,
-0.05157470703125,
-0.0288238525390625,
-0.04071044921875,
-0.01... |
ahuang11/mistral-ft-lumen | 2023-10-12T20:40:17.000Z | [
"peft",
"region:us"
] | null | ahuang11 | null | null | ahuang11/mistral-ft-lumen | 0 | 2 | peft | 2023-10-12T20:39:58 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
-0.045074462890625,
-0.05615234375,
0.03338623046875,
0.035308837890625,
-0.038543701171875,
0.006992340087890625,
0.01174163818359375,
-0.0140533447265625,
-0.01226806640625,
0.031219482421875,
-0.04168701171875,
-0.009490966796875,
-0.033355712890625,
0.01... |
vladjr/t5-base-teste2 | 2023-10-12T21:58:45.000Z | [
"transformers",
"tf",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | vladjr | null | null | vladjr/t5-base-teste2 | 0 | 2 | transformers | 2023-10-12T21:18:24 | ---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: vladjr/t5-base-teste2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment.... | 1,821 | [
[
-0.039825439453125,
-0.0285186767578125,
0.0177459716796875,
0.0012750625610351562,
-0.029296875,
-0.02008056640625,
-0.01058197021484375,
-0.0137939453125,
-0.00019466876983642578,
0.0101470947265625,
-0.0501708984375,
-0.05487060546875,
-0.05853271484375,
... |
asmallgreenpotato/falcon-7b-ft-general1-adapters | 2023-10-13T00:03:59.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | asmallgreenpotato | null | null | asmallgreenpotato/falcon-7b-ft-general1-adapters | 0 | 2 | peft | 2023-10-13T00:03:45 | ---
library_name: peft
base_model: tiiuae/falcon-7b
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:*... | 5,882 | [
[
-0.044952392578125,
-0.04608154296875,
0.0305328369140625,
0.00799560546875,
-0.0225372314453125,
-0.017974853515625,
0.0021114349365234375,
-0.038421630859375,
0.0012187957763671875,
0.04296875,
-0.054595947265625,
-0.04522705078125,
-0.04296875,
-0.0032062... |
giantkylin/my_eli5_clm-model | 2023-10-26T14:01:52.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | giantkylin | null | null | giantkylin/my_eli5_clm-model | 0 | 2 | transformers | 2023-10-13T01:03:55 | ---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: my_eli5_clm-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | 1,365 | [
[
-0.037200927734375,
-0.043426513671875,
0.0199737548828125,
0.01064300537109375,
-0.03509521484375,
-0.039398193359375,
-0.01161956787109375,
-0.0104827880859375,
-0.01435089111328125,
0.0233612060546875,
-0.052032470703125,
-0.045196533203125,
-0.05715942382812... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v1 | 2023-10-13T01:55:03.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v1 | 0 | 2 | transformers | 2023-10-13T01:38:52 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.03265380859375,
-0.04193115234375,
0.006900787353515625,
0.0139617919921875,
-0.021148681640625,
-0.0179595947265625,
-0.011749267578125,
-0.0168914794921875,
0.01611328125,
0.0283966064453125,
-0.05072021484375,
-0.05035400390625,
-0.039031982421875,
-0.... |
Vezora/Mistral-Narwhal-7b-SafeTensor | 2023-10-13T03:14:08.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Vezora | null | null | Vezora/Mistral-Narwhal-7b-SafeTensor | 0 | 2 | transformers | 2023-10-13T01:41:57 | ---
license: apache-2.0
---
# Narwhal-Mistral-7b
## Model Description
Mistral-Narwhal-7b is a Hugging Face model built on top of Mistral 7b. It is a result of merging two models: Eric Hartford's Dolphin2.1 and HuggingFace's Zephyr-7b-alpha. All credit goes to them.
## Source Models
- Dolphin2.1-mistral-7b by Eric H... | 618 | [
[
-0.06121826171875,
-0.036285400390625,
0.01544952392578125,
0.0364990234375,
-0.0113525390625,
-0.0049285888671875,
0.04248046875,
-0.07049560546875,
0.038970947265625,
0.036834716796875,
-0.042083740234375,
0.0014066696166992188,
-0.0328369140625,
0.0011901... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v2 | 2023-10-13T02:19:15.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v2 | 0 | 2 | transformers | 2023-10-13T02:02:29 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.0313720703125,
-0.042694091796875,
0.005657196044921875,
0.01502227783203125,
-0.019683837890625,
-0.01812744140625,
-0.0125885009765625,
-0.0176544189453125,
0.0154266357421875,
0.0291595458984375,
-0.048736572265625,
-0.04901123046875,
-0.039031982421875,
... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v3 | 2023-10-13T02:44:05.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v3 | 0 | 2 | transformers | 2023-10-13T02:26:52 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.0312347412109375,
-0.0428466796875,
0.006404876708984375,
0.01544189453125,
-0.020172119140625,
-0.017852783203125,
-0.01275634765625,
-0.018585205078125,
0.014892578125,
0.02886962890625,
-0.04705810546875,
-0.049468994140625,
-0.037567138671875,
-0.0165... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v4 | 2023-10-13T03:08:58.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v4 | 0 | 2 | transformers | 2023-10-13T02:51:42 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.030426025390625,
-0.042694091796875,
0.005062103271484375,
0.01433563232421875,
-0.0217742919921875,
-0.0177001953125,
-0.0133056640625,
-0.018646240234375,
0.01446533203125,
0.0284881591796875,
-0.04766845703125,
-0.049957275390625,
-0.039337158203125,
-... |
AA051610/H1L | 2023-10-13T08:29:29.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:1910.09700",
"license:gpl-3.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AA051610 | null | null | AA051610/H1L | 0 | 2 | transformers | 2023-10-13T03:00:48 | ---
license: gpl-3.0
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_tem... | 5,249 | [
[
-0.047515869140625,
-0.04461669921875,
0.03192138671875,
0.00807952880859375,
-0.024078369140625,
-0.0241241455078125,
0.0083770751953125,
-0.04705810546875,
0.0184783935546875,
0.05035400390625,
-0.056549072265625,
-0.050323486328125,
-0.044708251953125,
-0... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v5 | 2023-10-13T03:33:29.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v5 | 0 | 2 | transformers | 2023-10-13T03:16:33 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.0311737060546875,
-0.04150390625,
0.00519561767578125,
0.014251708984375,
-0.0221710205078125,
-0.0177459716796875,
-0.01303863525390625,
-0.0175933837890625,
0.0155029296875,
0.027313232421875,
-0.04827880859375,
-0.049652099609375,
-0.038787841796875,
-... |
Rewcifer/teamyellow-llama1-7B-lora-5pct-1ktoken | 2023-10-13T03:20:12.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | Rewcifer | null | null | Rewcifer/teamyellow-llama1-7B-lora-5pct-1ktoken | 0 | 2 | peft | 2023-10-13T03:20:08 | ---
library_name: peft
base_model: decapoda-research/llama-7b-hf
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by... | 5,203 | [
[
-0.0443115234375,
-0.04132080078125,
0.03314208984375,
0.00669097900390625,
-0.01654052734375,
-0.0217742919921875,
0.00913238525390625,
-0.042327880859375,
0.00626373291015625,
0.052520751953125,
-0.05670166015625,
-0.048492431640625,
-0.041778564453125,
-0... |
LikelySurf/FreeLabSeminar_MammoLLM_Kyungmin | 2023-10-13T03:45:05.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LikelySurf | null | null | LikelySurf/FreeLabSeminar_MammoLLM_Kyungmin | 0 | 2 | transformers | 2023-10-13T03:33:49 | ---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: FreeLabSeminar_MammoLLM_Kyungmin
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | 1,360 | [
[
-0.0285491943359375,
-0.044525146484375,
0.015838623046875,
0.00698089599609375,
-0.0382080078125,
-0.042755126953125,
-0.00577545166015625,
-0.01477813720703125,
-0.00200653076171875,
0.025604248046875,
-0.045501708984375,
-0.04095458984375,
-0.05157470703125,
... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v6 | 2023-10-13T03:57:57.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v6 | 0 | 2 | transformers | 2023-10-13T03:41:06 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.032379150390625,
-0.040863037109375,
0.006206512451171875,
0.0159912109375,
-0.0213623046875,
-0.0189056396484375,
-0.0121307373046875,
-0.0186767578125,
0.01493072509765625,
0.027740478515625,
-0.048370361328125,
-0.04888916015625,
-0.038604736328125,
-0... |
sgeorge31/setfit-ethos-multilabel-example | 2023-10-13T03:57:06.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | sgeorge31 | null | null | sgeorge31/setfit-ethos-multilabel-example | 0 | 2 | sentence-transformers | 2023-10-13T03:56:48 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# sgeorge31/setfit-ethos-multilabel-example
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient... | 1,571 | [
[
-0.02032470703125,
-0.056427001953125,
0.0203857421875,
-0.004581451416015625,
-0.007610321044921875,
-0.0120697021484375,
-0.022491455078125,
-0.024017333984375,
0.0014934539794921875,
0.027496337890625,
-0.0377197265625,
-0.018768310546875,
-0.045135498046875,... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v7 | 2023-10-13T04:23:03.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v7 | 0 | 2 | transformers | 2023-10-13T04:05:34 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.0313720703125,
-0.042205810546875,
0.005603790283203125,
0.0143890380859375,
-0.0225067138671875,
-0.0184173583984375,
-0.01287078857421875,
-0.0183563232421875,
0.01424407958984375,
0.027496337890625,
-0.0482177734375,
-0.049560546875,
-0.039794921875,
-... |
dainis-boumber/df-adapters-twitter-rumours | 2023-10-13T06:26:06.000Z | [
"adapter-transformers",
"bert",
"dataset:redasers/difraud",
"region:us"
] | null | dainis-boumber | null | null | dainis-boumber/df-adapters-twitter-rumours | 0 | 2 | adapter-transformers | 2023-10-13T04:14:22 | ---
tags:
- bert
- adapter-transformers
datasets:
- redasers/difraud
---
# Adapter `dainis-boumber/df-adapters-twitter-rumours` for bert-base-uncased
An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [redasers/difraud](https://huggingface.co/datasets/redasers/difraud/) data... | 1,227 | [
[
-0.04058837890625,
-0.0200347900390625,
0.0004429817199707031,
0.0174407958984375,
-0.02740478515625,
-0.005764007568359375,
-0.01226043701171875,
-0.006702423095703125,
0.02386474609375,
0.0120697021484375,
-0.0491943359375,
-0.01751708984375,
-0.06488037109375... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v8 | 2023-10-13T04:47:56.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v8 | 0 | 2 | transformers | 2023-10-13T04:30:43 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.031646728515625,
-0.0416259765625,
0.00524139404296875,
0.01467132568359375,
-0.0197601318359375,
-0.0174407958984375,
-0.01229095458984375,
-0.018768310546875,
0.0155181884765625,
0.0265350341796875,
-0.048675537109375,
-0.049835205078125,
-0.0396728515625,
... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v9 | 2023-10-13T05:12:06.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v9 | 0 | 2 | transformers | 2023-10-13T04:55:17 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-v9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,982 | [
[
-0.032257080078125,
-0.042236328125,
0.005924224853515625,
0.01468658447265625,
-0.020477294921875,
-0.0173492431640625,
-0.01202392578125,
-0.01751708984375,
0.0159912109375,
0.0283203125,
-0.047607421875,
-0.04913330078125,
-0.039337158203125,
-0.016128540... |
IHaBiS/Mistral-11B-OmniMix-bf16-4.125bpw-h8-exl2 | 2023-10-13T06:17:56.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | IHaBiS | null | null | IHaBiS/Mistral-11B-OmniMix-bf16-4.125bpw-h8-exl2 | 0 | 2 | transformers | 2023-10-13T06:02:27 | ---
license: cc-by-nc-4.0
---
exl2 version of [NeverSleep/Mistral-11B-OmniMix-bf16](https://huggingface.co/NeverSleep/Mistral-11B-OmniMix-bf16)
used dataset : [wikitext](https://huggingface.co/datasets/wikitext)
quantized by IHaBiS
command : python convert.py -i models/NeverSleep_Mistral-11B-OmniMix-bf16 -o Nev... | 4,146 | [
[
-0.04144287109375,
-0.04296875,
0.0230560302734375,
0.0124664306640625,
-0.00432586669921875,
-0.01922607421875,
-0.003376007080078125,
-0.02996826171875,
0.0163421630859375,
0.03155517578125,
-0.0462646484375,
-0.036956787109375,
-0.043365478515625,
-0.0152... |
TheBloke/speechless-code-mistral-7B-v1.0-GGUF | 2023-10-13T06:17:08.000Z | [
"transformers",
"mistral",
"llama-2",
"code",
"text-generation",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:TokenBender/python_eval_instruct_51k",
"license:llama2",
"... | text-generation | TheBloke | null | null | TheBloke/speechless-code-mistral-7B-v1.0-GGUF | 4 | 2 | transformers | 2023-10-13T06:07:41 | ---
base_model: uukuguy/speechless-code-mistral-7b-v1.0
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
inference: false
language:
- en
library_name: transformers
license: llama2
model-index:
- name: S... | 19,671 | [
[
-0.04229736328125,
-0.053192138671875,
0.0167694091796875,
0.037322998046875,
-0.0220947265625,
-0.01488494873046875,
0.003986358642578125,
-0.049041748046875,
0.02423095703125,
0.018096923828125,
-0.050750732421875,
-0.03436279296875,
-0.033447265625,
0.003... |
yesj1234/mbart-mmt_7.4p_en-ko | 2023-10-13T06:27:08.000Z | [
"transformers",
"pytorch",
"mbart",
"text2text-generation",
"generated_from_trainer",
"en",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | yesj1234 | null | null | yesj1234/mbart-mmt_7.4p_en-ko | 0 | 2 | transformers | 2023-10-13T06:17:10 | ---
language:
- en
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tst-translation-output
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,895 | [
[
-0.037353515625,
-0.04632568359375,
0.01129150390625,
0.0170440673828125,
-0.0256195068359375,
-0.0220794677734375,
-0.0184478759765625,
-0.006839752197265625,
0.009857177734375,
0.0200347900390625,
-0.061309814453125,
-0.04144287109375,
-0.055694580078125,
... |
AA051610/H2L | 2023-10-13T17:59:04.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:1910.09700",
"license:gpl",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AA051610 | null | null | AA051610/H2L | 0 | 2 | transformers | 2023-10-13T09:06:07 | ---
license: gpl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_templat... | 5,242 | [
[
-0.047576904296875,
-0.04461669921875,
0.03192138671875,
0.008087158203125,
-0.024078369140625,
-0.02410888671875,
0.008392333984375,
-0.047149658203125,
0.01849365234375,
0.05035400390625,
-0.056549072265625,
-0.050323486328125,
-0.044708251953125,
-0.00733... |
Tommert25/multibert_1310seed7 | 2023-10-13T09:51:39.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/multibert_1310seed7 | 0 | 2 | transformers | 2023-10-13T09:28:03 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: multibert_1310seed7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 2,820 | [
[
-0.046478271484375,
-0.040283203125,
0.01151275634765625,
0.01264190673828125,
-0.00963592529296875,
-0.01177215576171875,
-0.01071929931640625,
-0.01031494140625,
0.03558349609375,
0.0224456787109375,
-0.05120849609375,
-0.050384521484375,
-0.049835205078125,
... |
hmbert/flair-hipe-2022-ajmc-fr | 2023-10-17T23:15:01.000Z | [
"flair",
"token-classification",
"sequence-tagger-model",
"fr",
"license:mit",
"region:us"
] | token-classification | hmbert | null | null | hmbert/flair-hipe-2022-ajmc-fr | 0 | 2 | flair | 2023-10-13T11:09:55 | ---
language: fr
license: mit
tags:
- flair
- token-classification
- sequence-tagger-model
base_model: dbmdz/bert-base-historic-multilingual-cased
widget:
- text: — 469 . Πεδία . Les tribraques formés par un seul mot sont rares chez les
tragiques , partont ailleurs qu ’ au premier pied . CÉ . cependant QEd , Roi ,
... | 4,603 | [
[
-0.057098388671875,
-0.02734375,
0.018157958984375,
0.0004744529724121094,
0.011138916015625,
0.0040740966796875,
0.00865936279296875,
-0.0224151611328125,
0.037689208984375,
0.039031982421875,
-0.046112060546875,
-0.03802490234375,
-0.0364990234375,
-0.0072... |
IHaBiS/PetrolLM-CollectiveCognition-4.125bpw-h8-exl2 | 2023-10-13T15:31:06.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned",
"dataset:OpenLeecher/Teatime",
"dataset:PygmalionAI/PIPPA",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us... | text-generation | IHaBiS | null | null | IHaBiS/PetrolLM-CollectiveCognition-4.125bpw-h8-exl2 | 0 | 2 | transformers | 2023-10-13T12:58:28 | ---
datasets:
- Squish42/bluemoon-fandom-1-1-rp-cleaned
- OpenLeecher/Teatime
- PygmalionAI/PIPPA
tags:
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
---
exl2 version of [Norquinal/PetrolLM-CollectiveCognition](https://huggingface.co/Norquinal/PetrolLM-CollectiveCognition)
used dataset : [wikitext](https://hu... | 2,467 | [
[
-0.0251007080078125,
-0.05145263671875,
0.01629638671875,
0.01904296875,
-0.01416778564453125,
-0.0097808837890625,
-0.007450103759765625,
-0.02825927734375,
0.0240020751953125,
0.045623779296875,
-0.0648193359375,
-0.045684814453125,
-0.018280029296875,
0.0... |
Mathoctopus/Parallel_7B | 2023-11-02T07:29:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"es",
"zh",
"de",
"ru",
"th",
"sw",
"ja",
"fr",
"bn",
"dataset:Mathoctopus/GSM8KInstruct_Parallel",
"arxiv:2310.20246",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Mathoctopus | null | null | Mathoctopus/Parallel_7B | 1 | 2 | transformers | 2023-10-13T13:27:21 | ---
license: apache-2.0
datasets:
- Mathoctopus/GSM8KInstruct_Parallel
language:
- en
- es
- zh
- de
- ru
- th
- sw
- ja
- fr
- bn
---
# 🐙 Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
Project Page: [https://mathoctopus.github.io/](https://mathoctopus.github.io/)
Paper... | 10,504 | [
[
-0.0535888671875,
-0.02099609375,
0.01285552978515625,
0.007701873779296875,
-0.021148681640625,
0.0103759765625,
-0.01342010498046875,
-0.01499176025390625,
0.0474853515625,
0.01306915283203125,
-0.04095458984375,
-0.028045654296875,
-0.047454833984375,
-0.... |
IHaBiS/PetrolLM-CollectiveCognition-6bpw-h8-exl2 | 2023-10-13T15:31:45.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned",
"dataset:OpenLeecher/Teatime",
"dataset:PygmalionAI/PIPPA",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us... | text-generation | IHaBiS | null | null | IHaBiS/PetrolLM-CollectiveCognition-6bpw-h8-exl2 | 0 | 2 | transformers | 2023-10-13T13:47:59 | ---
datasets:
- Squish42/bluemoon-fandom-1-1-rp-cleaned
- OpenLeecher/Teatime
- PygmalionAI/PIPPA
tags:
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
---
exl2 version of [Norquinal/PetrolLM-CollectiveCognition](https://huggingface.co/Norquinal/PetrolLM-CollectiveCognition)
used dataset : [wikitext](https://hu... | 2,459 | [
[
-0.0251922607421875,
-0.051605224609375,
0.016448974609375,
0.01898193359375,
-0.01401519775390625,
-0.0099334716796875,
-0.007305145263671875,
-0.0279388427734375,
0.0239105224609375,
0.045501708984375,
-0.06536865234375,
-0.045654296875,
-0.018035888671875,
... |
dima806/full_flat_tyre_image_detection | 2023-10-13T14:16:46.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | dima806 | null | null | dima806/full_flat_tyre_image_detection | 0 | 2 | transformers | 2023-10-13T14:14:04 | ---
license: apache-2.0
metrics:
- accuracy
- f1
---
See https://www.kaggle.com/code/dima806/full-flat-tyre-image-detection-vit for more details. | 145 | [
[
-0.037078857421875,
-0.0350341796875,
0.05426025390625,
0.008056640625,
-0.044586181640625,
-0.00904083251953125,
0.00510406494140625,
-0.0289764404296875,
0.01488494873046875,
0.029937744140625,
-0.04583740234375,
-0.053253173828125,
-0.0293731689453125,
-0... |
intanm/bert-base-multilingual-cased-idkmrc | 2023-10-13T15:16:38.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | intanm | null | null | intanm/bert-base-multilingual-cased-idkmrc | 0 | 2 | transformers | 2023-10-13T15:04:51 | ---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-idkmrc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | 1,455 | [
[
-0.0384521484375,
-0.043670654296875,
0.01198577880859375,
0.0244903564453125,
-0.03253173828125,
-0.0259857177734375,
-0.029022216796875,
-0.007843017578125,
0.0106658935546875,
0.0268707275390625,
-0.05657958984375,
-0.051116943359375,
-0.0430908203125,
-0... |
intanm/bert-base-multilingual-cased-clickbaitspoiling | 2023-10-13T15:39:28.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | intanm | null | null | intanm/bert-base-multilingual-cased-clickbaitspoiling | 0 | 2 | transformers | 2023-10-13T15:21:01 | ---
license: apache-2.0
base_model: intanm/bert-base-multilingual-cased-idkmrc
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-clickbaitspoiling
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | 1,877 | [
[
-0.038604736328125,
-0.037689208984375,
0.00794219970703125,
0.0244598388671875,
-0.0234222412109375,
-0.0260772705078125,
-0.020233154296875,
-0.0098876953125,
0.01458740234375,
0.030181884765625,
-0.05084228515625,
-0.05242919921875,
-0.048614501953125,
-0... |
LoneStriker/speechless-code-mistral-7b-v1.0-3.0bpw-h6-exl2 | 2023-10-13T15:48:22.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:TokenBender/python_eval_instruct_51k",
"license... | text-generation | LoneStriker | null | null | LoneStriker/speechless-code-mistral-7b-v1.0-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-13T15:46:05 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
... | 3,043 | [
[
-0.037261962890625,
-0.055938720703125,
0.0179290771484375,
0.01708984375,
-0.006229400634765625,
-0.0203704833984375,
-0.01024627685546875,
-0.018157958984375,
0.00988006591796875,
0.0224761962890625,
-0.032684326171875,
-0.0556640625,
-0.03948974609375,
-0... |
LoneStriker/speechless-code-mistral-7b-v1.0-8.0bpw-h6-exl2 | 2023-10-13T15:49:00.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:TokenBender/python_eval_instruct_51k",
"license... | text-generation | LoneStriker | null | null | LoneStriker/speechless-code-mistral-7b-v1.0-8.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-13T15:46:22 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
... | 3,043 | [
[
-0.037261962890625,
-0.055938720703125,
0.0179290771484375,
0.01708984375,
-0.006229400634765625,
-0.0203704833984375,
-0.01024627685546875,
-0.018157958984375,
0.00988006591796875,
0.0224761962890625,
-0.032684326171875,
-0.0556640625,
-0.03948974609375,
-0... |
mtc/LeoLM-leo-hessianai-13b-all-labels-classification-english-one-epoch-qlora-4bit | 2023-10-13T17:13:07.000Z | [
"peft",
"region:us"
] | null | mtc | null | null | mtc/LeoLM-leo-hessianai-13b-all-labels-classification-english-one-epoch-qlora-4bit | 0 | 2 | peft | 2023-10-13T17:11:59 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- l... | 485 | [
[
-0.045135498046875,
-0.054901123046875,
0.030792236328125,
0.034698486328125,
-0.03778076171875,
0.006237030029296875,
0.013427734375,
-0.0140380859375,
-0.01360321044921875,
0.034271240234375,
-0.039581298828125,
-0.01001739501953125,
-0.029541015625,
0.011... |
Carmesix/Sentiment_Analysis_20000sample | 2023-10-13T19:37:11.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Carmesix | null | null | Carmesix/Sentiment_Analysis_20000sample | 0 | 2 | transformers | 2023-10-13T18:36:00 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: Sentiment_Analysis_20000sample
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
... | 1,566 | [
[
-0.042755126953125,
-0.04058837890625,
0.0134735107421875,
0.01629638671875,
-0.03961181640625,
-0.006496429443359375,
-0.00786590576171875,
0.0029296875,
0.0198822021484375,
0.0169677734375,
-0.056182861328125,
-0.048614501953125,
-0.06622314453125,
-0.0041... |
lum-ai/metal-graphcodebert-base-gpt4-v2 | 2023-10-14T15:15:41.000Z | [
"transformers",
"pytorch",
"metal",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | lum-ai | null | null | lum-ai/metal-graphcodebert-base-gpt4-v2 | 0 | 2 | transformers | 2023-10-13T19:43:50 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: metal-graphcodebert-base-gpt4-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# me... | 22,584 | [
[
-0.0469970703125,
-0.034759521484375,
0.021026611328125,
0.004886627197265625,
-0.0030155181884765625,
0.013458251953125,
0.00731658935546875,
0.005313873291015625,
0.049560546875,
0.0264892578125,
-0.04229736328125,
-0.043609619140625,
-0.04083251953125,
-0... |
rjarpa/ms-16maps_alpha-ds | 2023-10-28T16:39:49.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | rjarpa | null | null | rjarpa/ms-16maps_alpha-ds | 0 | 2 | transformers | 2023-10-14T01:21:03 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-16maps_alpha-ds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ms-16maps_alpha-ds
Thi... | 1,513 | [
[
-0.03582763671875,
-0.042022705078125,
0.0198516845703125,
0.0011434555053710938,
-0.02740478515625,
-0.0269927978515625,
-0.00653839111328125,
-0.020751953125,
-0.006610870361328125,
0.015106201171875,
-0.056640625,
-0.040008544921875,
-0.060943603515625,
-... |
rjarpa/ms-16maps_nonalpha-ds | 2023-10-28T16:48:43.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | rjarpa | null | null | rjarpa/ms-16maps_nonalpha-ds | 0 | 2 | transformers | 2023-10-14T01:24:17 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-16maps_nonalpha-ds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ms-16maps_nonalpha-d... | 2,131 | [
[
-0.035247802734375,
-0.04144287109375,
0.01450347900390625,
0.0028553009033203125,
-0.0195465087890625,
-0.02105712890625,
-0.0011663436889648438,
-0.0113067626953125,
0.011077880859375,
0.0233001708984375,
-0.0537109375,
-0.044342041015625,
-0.056182861328125,
... |
taylorbollman/distilbert-base-uncased-finetuned-imdb | 2023-11-03T00:47:34.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | taylorbollman | null | null | taylorbollman/distilbert-base-uncased-finetuned-imdb | 0 | 2 | transformers | 2023-10-14T02:04:41 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,504 | [
[
-0.04278564453125,
-0.04461669921875,
0.01013946533203125,
0.00640869140625,
-0.03173828125,
-0.01061248779296875,
-0.0018796920776367188,
-0.00030231475830078125,
0.01396942138671875,
0.028411865234375,
-0.058135986328125,
-0.038818359375,
-0.062042236328125,
... |
t4ai/finetuning-classification-model-t4-roberta | 2023-10-14T08:30:07.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | t4ai | null | null | t4ai/finetuning-classification-model-t4-roberta | 0 | 2 | transformers | 2023-10-14T02:53:19 | ---
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: t4ai/finetuning-classification-model-t4-roberta
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, t... | 1,806 | [
[
-0.0325927734375,
-0.03424072265625,
0.0191497802734375,
-0.004688262939453125,
-0.02642822265625,
-0.0184783935546875,
-0.0240936279296875,
-0.01617431640625,
0.0035381317138671875,
0.00878143310546875,
-0.056915283203125,
-0.051422119140625,
-0.061920166015625... |
Mathoctopus/Cross_7B | 2023-11-02T07:36:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"es",
"zh",
"de",
"ru",
"th",
"sw",
"ja",
"fr",
"bn",
"dataset:Mathoctopus/GSM8KInstruct_Parallel",
"arxiv:2310.20246",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Mathoctopus | null | null | Mathoctopus/Cross_7B | 2 | 2 | transformers | 2023-10-14T04:47:34 | ---
license: apache-2.0
datasets:
- Mathoctopus/GSM8KInstruct_Parallel
language:
- en
- es
- zh
- de
- ru
- th
- sw
- ja
- fr
- bn
---
# 🐙 Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
Project Page: [https://mathoctopus.github.io/](https://mathoctopus.github.io/)
Paper... | 10,504 | [
[
-0.053619384765625,
-0.02099609375,
0.01288604736328125,
0.00771331787109375,
-0.0211639404296875,
0.01035308837890625,
-0.013427734375,
-0.0149993896484375,
0.047515869140625,
0.0130615234375,
-0.04095458984375,
-0.028045654296875,
-0.047515869140625,
-0.00... |
nlewins/whisper-tiny-translateV-fp16-1e5-noforce-es-nosuppress | 2023-10-14T17:59:39.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ceb",
"dataset:google/fleurs",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | nlewins | null | null | nlewins/whisper-tiny-translateV-fp16-1e5-noforce-es-nosuppress | 0 | 2 | transformers | 2023-10-14T07:21:16 | ---
language:
- ceb
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: Whisper finetuned for ceb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,455 | [
[
-0.03546142578125,
-0.057281494140625,
0.021087646484375,
0.018707275390625,
-0.0185089111328125,
-0.040191650390625,
-0.022308349609375,
-0.0310211181640625,
0.012786865234375,
0.0261993408203125,
-0.046600341796875,
-0.04443359375,
-0.0391845703125,
-0.022... |
EllieLee/distilbert-base-uncased-finetuned-emotion | 2023-10-14T14:10:18.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | EllieLee | null | null | EllieLee/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-14T13:53:26 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,881 | [
[
-0.037628173828125,
-0.041290283203125,
0.01451873779296875,
0.0211181640625,
-0.026153564453125,
-0.0191650390625,
-0.0130157470703125,
-0.008758544921875,
0.00981903076171875,
0.00811767578125,
-0.056427001953125,
-0.051605224609375,
-0.059783935546875,
-0... |
NeverSleep/Mistral-11B-SynthIAirOmniMix | 2023-10-14T15:37:15.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | NeverSleep | null | null | NeverSleep/Mistral-11B-SynthIAirOmniMix | 0 | 2 | transformers | 2023-10-14T14:34:58 | ---
license: cc-by-nc-4.0
---
Replaced Zephyr by Airoboros 2.2 and OpenOrca by SynthIA in the mix, the reason why is to see if using merged Mistral models using all the same prompt format would be a better step or not.
## Description
This repo contains fp16 files of Mistral-11B-SynthIAirOmniMix.
## Model used
- [Sy... | 3,493 | [
[
-0.04254150390625,
-0.035797119140625,
0.029510498046875,
0.00640106201171875,
-0.0033588409423828125,
-0.005062103271484375,
-0.004207611083984375,
-0.028961181640625,
0.0294952392578125,
0.032501220703125,
-0.047821044921875,
-0.037445068359375,
-0.05050659179... |
fkr1306/distilbert-base-uncased-finetuned-emotion | 2023-10-29T02:58:18.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | fkr1306 | null | null | fkr1306/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-14T14:39:29 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,882 | [
[
-0.038330078125,
-0.04132080078125,
0.0159759521484375,
0.0217437744140625,
-0.0265350341796875,
-0.0196380615234375,
-0.0128326416015625,
-0.0091552734375,
0.0107269287109375,
0.00911712646484375,
-0.056793212890625,
-0.05169677734375,
-0.05926513671875,
-0... |
CobraMamba/mamba-gpt-7b-v2 | 2023-10-14T14:54:28.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"gpt",
"llm",
"large language model",
"en",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | CobraMamba | null | null | CobraMamba/mamba-gpt-7b-v2 | 0 | 2 | transformers | 2023-10-14T14:42:12 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
---
# Model Card
## Summary
We have fine-tuned the OpenLLaMA model and surpassed the ori... | 2,896 | [
[
-0.02874755859375,
-0.072021484375,
0.01312255859375,
0.0301513671875,
-0.03851318359375,
-0.0170135498046875,
-0.03363037109375,
-0.033905029296875,
0.00800323486328125,
0.02484130859375,
-0.021209716796875,
-0.039703369140625,
-0.049285888671875,
0.0041198... |
legacy107/multi-qa-mpnet-base-dot-v1-wikipedia-augmented-search-farmed | 2023-10-14T15:14:17.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | legacy107 | null | null | legacy107/multi-qa-mpnet-base-dot-v1-wikipedia-augmented-search-farmed | 0 | 2 | sentence-transformers | 2023-10-14T15:13:56 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,498 | [
[
-0.02215576171875,
-0.056427001953125,
0.023529052734375,
0.023529052734375,
-0.0167999267578125,
-0.0322265625,
-0.0153656005859375,
0.0030040740966796875,
0.01123046875,
0.02996826171875,
-0.04815673828125,
-0.043701171875,
-0.050811767578125,
-0.000810623... |
imdatta0/qwen-books-gas32-cos | 2023-10-14T17:00:29.000Z | [
"peft",
"region:us"
] | null | imdatta0 | null | null | imdatta0/qwen-books-gas32-cos | 0 | 2 | peft | 2023-10-14T17:00:28 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.5.0
- PEFT 0.5.0
| 101 | [
[
-0.019500732421875,
-0.006832122802734375,
0.02142333984375,
0.064697265625,
-0.01194000244140625,
-0.000026166439056396484,
0.039276123046875,
-0.00853729248046875,
0.0196990966796875,
0.0562744140625,
-0.04290771484375,
-0.0174713134765625,
-0.035552978515625,... |
t4ai/finetuning-classification-model-t4-roberta2 | 2023-10-14T20:41:23.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | t4ai | null | null | t4ai/finetuning-classification-model-t4-roberta2 | 0 | 2 | transformers | 2023-10-14T17:05:56 | ---
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: t4ai/finetuning-classification-model-t4-roberta2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, ... | 1,785 | [
[
-0.0338134765625,
-0.033294677734375,
0.0176849365234375,
-0.003749847412109375,
-0.0279541015625,
-0.020050048828125,
-0.0242767333984375,
-0.016937255859375,
0.0018949508666992188,
0.0086822509765625,
-0.056243896484375,
-0.050140380859375,
-0.061981201171875,... |
GGital/CAI_Test_New_01 | 2023-10-14T18:32:09.000Z | [
"peft",
"tensorboard",
"arxiv:1910.09700",
"region:us"
] | null | GGital | null | null | GGital/CAI_Test_New_01 | 0 | 2 | peft | 2023-10-14T18:31:49 | ---
library_name: peft
base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information ... | 5,473 | [
[
-0.044647216796875,
-0.043365478515625,
0.0302734375,
0.00620269775390625,
-0.0193328857421875,
-0.0220794677734375,
0.00485992431640625,
-0.0408935546875,
0.003265380859375,
0.04608154296875,
-0.05487060546875,
-0.048065185546875,
-0.04193115234375,
-0.0072... |
Barani1-t/speecht5_finetuned_voxpopuli_nl | 2023-10-14T20:07:20.000Z | [
"transformers",
"pytorch",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"nl",
"dataset:facebook/voxpopuli",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-audio | Barani1-t | null | null | Barani1-t/speecht5_finetuned_voxpopuli_nl | 0 | 2 | transformers | 2023-10-14T19:00:25 | ---
language:
- nl
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_nl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... | 1,645 | [
[
-0.026092529296875,
-0.04840087890625,
-0.0009937286376953125,
0.011016845703125,
-0.0197906494140625,
-0.02178955078125,
-0.017059326171875,
-0.0100860595703125,
-0.004058837890625,
0.0178375244140625,
-0.05364990234375,
-0.05047607421875,
-0.042205810546875,
... |
TheBloke/tora-13B-v1.0-GPTQ | 2023-10-14T20:07:06.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/tora-13B-v1.0-GPTQ | 0 | 2 | transformers | 2023-10-14T19:30:30 | ---
base_model: llm-agents/tora-13b-v1.0
datasets:
- gsm8k
- competition_math
inference: false
language:
- en
library_name: transformers
license: llama2
metrics:
- exact_match
model_creator: LLM-Agents
model_name: ToRA 13B v1.0
model_type: llama
pipeline_tag: text-generation
prompt_template: '<|user|>
{prompt}
<|... | 22,206 | [
[
-0.039794921875,
-0.05780029296875,
0.01462554931640625,
0.017669677734375,
-0.017669677734375,
-0.0087890625,
0.0079498291015625,
-0.033416748046875,
0.026611328125,
0.030975341796875,
-0.042755126953125,
-0.04052734375,
-0.023101806640625,
-0.0015220642089... |
spadini/meme-class | 2023-10-14T19:48:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | spadini | null | null | spadini/meme-class | 0 | 2 | transformers | 2023-10-14T19:44:58 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: meme-class
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6883116960525513
---
# meme-class
Autogenera... | 930 | [
[
-0.047332763671875,
-0.0401611328125,
0.008758544921875,
0.043548583984375,
-0.045501708984375,
0.01392364501953125,
0.0071868896484375,
-0.0265045166015625,
0.046356201171875,
0.01375579833984375,
-0.030426025390625,
-0.045501708984375,
-0.043304443359375,
... |
Akshay0706/Plant-Diseases-Classification-Training-Arguments | 2023-10-14T21:38:07.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Akshay0706 | null | null | Akshay0706/Plant-Diseases-Classification-Training-Arguments | 0 | 2 | transformers | 2023-10-14T21:37:29 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: Plant-Diseases-Classification-Training-Arguments
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | 1,385 | [
[
-0.01190185546875,
-0.046142578125,
0.0156097412109375,
0.00469207763671875,
-0.035919189453125,
-0.0367431640625,
0.0036029815673828125,
-0.0296478271484375,
0.014312744140625,
0.01922607421875,
-0.03448486328125,
-0.050933837890625,
-0.0548095703125,
0.001... |
galbitang/autotrain-ijeongmi_lamp_final-95169146297 | 2023-10-14T21:52:06.000Z | [
"transformers",
"pytorch",
"safetensors",
"vit",
"image-classification",
"autotrain",
"vision",
"dataset:galbitang/autotrain-data-ijeongmi_lamp_final",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | galbitang | null | null | galbitang/autotrain-ijeongmi_lamp_final-95169146297 | 0 | 2 | transformers | 2023-10-14T21:45:43 | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-ijeongmi_lamp_final
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_t... | 889 | [
[
-0.02618408203125,
-0.00975799560546875,
0.0152740478515625,
-0.0008344650268554688,
0.004100799560546875,
0.00994110107421875,
0.0048980712890625,
-0.0186309814453125,
-0.0238494873046875,
-0.007328033447265625,
-0.0298614501953125,
-0.04254150390625,
-0.045349... |
Cesar42/TrainLlama2Dataset2 | 2023-10-14T22:39:44.000Z | [
"tensorboard",
"autotrain",
"text-generation",
"region:us"
] | text-generation | Cesar42 | null | null | Cesar42/TrainLlama2Dataset2 | 0 | 2 | null | 2023-10-14T22:15:17 | ---
tags:
- autotrain
- text-generation
widget:
- text: "I love AutoTrain because "
---
# Model Trained Using AutoTrain | 120 | [
[
-0.0023174285888671875,
0.01137542724609375,
0.006534576416015625,
0.01318359375,
-0.0217742919921875,
0.001239776611328125,
0.0394287109375,
-0.0081787109375,
-0.017303466796875,
0.01898193359375,
-0.039520263671875,
0.01509857177734375,
-0.045013427734375,
... |
pkhanna2/my_awesome_qa_model | 2023-10-14T22:27:50.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | pkhanna2 | null | null | pkhanna2/my_awesome_qa_model | 0 | 2 | transformers | 2023-10-14T22:25:52 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | 1,410 | [
[
-0.0309906005859375,
-0.049591064453125,
0.0203399658203125,
0.013092041015625,
-0.0277862548828125,
-0.020538330078125,
0.006641387939453125,
-0.011199951171875,
0.006988525390625,
0.0213470458984375,
-0.047454833984375,
-0.045867919921875,
-0.047760009765625,
... |
adityarra07/whisper-medium-ft-GPT | 2023-10-14T23:31:41.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | adityarra07 | null | null | adityarra07/whisper-medium-ft-GPT | 0 | 2 | transformers | 2023-10-14T22:39:23 | ---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-ft-GPT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 1,757 | [
[
-0.03326416015625,
-0.04595947265625,
0.0145263671875,
0.0094451904296875,
-0.03155517578125,
-0.03192138671875,
-0.01094818115234375,
-0.0149078369140625,
0.011962890625,
0.021728515625,
-0.052581787109375,
-0.040771484375,
-0.05352783203125,
-0.02035522460... |
1TuanPham/Instruction_tune_8k_e3_en-vi_EleutherAI_pythia-410m-deduped-v0_LORA_CAUSAL_LM | 2023-10-15T04:40:13.000Z | [
"peft",
"region:us"
] | null | 1TuanPham | null | null | 1TuanPham/Instruction_tune_8k_e3_en-vi_EleutherAI_pythia-410m-deduped-v0_LORA_CAUSAL_LM | 0 | 2 | peft | 2023-10-15T03:15:56 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: True
- llm_int8_has_fp16_weigh... | 463 | [
[
-0.041778564453125,
-0.054443359375,
0.0322265625,
0.032958984375,
-0.03948974609375,
0.0075225830078125,
0.0100555419921875,
-0.01232147216796875,
-0.011810302734375,
0.0303497314453125,
-0.039459228515625,
-0.00852203369140625,
-0.034423828125,
0.007865905... |
LoneStriker/Mistral-11B-CC-Air-RP-3.0bpw-h6-exl2 | 2023-10-15T03:33:00.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"pretrained",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-11B-CC-Air-RP-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-15T03:32:35 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
- mistral
- pretrained
---
CollectiveCognition-v1.1-Mistral-7B and airoboros-mistral2.2-7b glued together and finetuned with qlora of Pippa and LimaRPv3 dataset.
<!-- description start -->
## Description
This repo contains fp16 files of Mistral-11B-CC-Ai... | 1,287 | [
[
-0.030609130859375,
-0.0192718505859375,
0.019683837890625,
0.02716064453125,
-0.0246429443359375,
0.00395965576171875,
0.016632080078125,
-0.0192718505859375,
0.03558349609375,
0.0513916015625,
-0.058929443359375,
-0.040374755859375,
-0.04180908203125,
0.00... |
FredNajjar/bigbird-QA-squad_v2.2 | 2023-10-15T04:59:20.000Z | [
"transformers",
"pytorch",
"big_bird",
"question-answering",
"generated_from_trainer",
"dataset:squad_v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | FredNajjar | null | null | FredNajjar/bigbird-QA-squad_v2.2 | 0 | 2 | transformers | 2023-10-15T03:45:06 | ---
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bigbird-QA-squad_v2.2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | 1,544 | [
[
-0.020660400390625,
-0.044281005859375,
0.01378631591796875,
0.0308837890625,
-0.01983642578125,
-0.0198516845703125,
-0.00797271728515625,
-0.024749755859375,
-0.00042510032653808594,
0.0135345458984375,
-0.062103271484375,
-0.040679931640625,
-0.0467529296875,... |
bnunticha/seq-classification-demo | 2023-10-15T15:19:34.000Z | [
"transformers",
"pytorch",
"camembert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | bnunticha | null | null | bnunticha/seq-classification-demo | 0 | 2 | transformers | 2023-10-15T05:04:23 | ---
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: seq-classification-demo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | 1,498 | [
[
-0.025177001953125,
-0.0298004150390625,
0.0045013427734375,
0.00536346435546875,
-0.032867431640625,
-0.0221710205078125,
-0.00955963134765625,
-0.01270294189453125,
0.0157318115234375,
0.0313720703125,
-0.043426513671875,
-0.056549072265625,
-0.0491943359375,
... |
Supersaiyan1729/mistrail_9_epichs_dolly | 2023-10-15T06:19:13.000Z | [
"peft",
"arxiv:1910.09700",
"region:us"
] | null | Supersaiyan1729 | null | null | Supersaiyan1729/mistrail_9_epichs_dolly | 0 | 2 | peft | 2023-10-15T06:19:07 | ---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [op... | 5,072 | [
[
-0.04547119140625,
-0.042327880859375,
0.0333251953125,
0.007724761962890625,
-0.016448974609375,
-0.0227813720703125,
0.00942230224609375,
-0.042572021484375,
0.006011962890625,
0.051483154296875,
-0.0565185546875,
-0.04949951171875,
-0.04132080078125,
-0.0... |
FredNajjar/bigbird-QA-squad_v2.4 | 2023-10-15T08:05:39.000Z | [
"transformers",
"pytorch",
"big_bird",
"question-answering",
"generated_from_trainer",
"dataset:squad_v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | FredNajjar | null | null | FredNajjar/bigbird-QA-squad_v2.4 | 0 | 2 | transformers | 2023-10-15T06:31:47 | ---
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bigbird-QA-squad_v2.4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | 1,544 | [
[
-0.02081298828125,
-0.04388427734375,
0.0142822265625,
0.0306549072265625,
-0.01953125,
-0.019195556640625,
-0.007503509521484375,
-0.0253448486328125,
-0.00022542476654052734,
0.01367950439453125,
-0.062744140625,
-0.0408935546875,
-0.04620361328125,
0.0007... |
allspace/distilbert-base-uncased-finetuned-emotion | 2023-10-16T03:23:30.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | allspace | null | null | allspace/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-15T12:42:03 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,884 | [
[
-0.036346435546875,
-0.0426025390625,
0.01454925537109375,
0.0224761962890625,
-0.026824951171875,
-0.019744873046875,
-0.0138092041015625,
-0.01108551025390625,
0.010711669921875,
0.0081787109375,
-0.056060791015625,
-0.05145263671875,
-0.05914306640625,
-0... |
buianh0803/text-sum-3 | 2023-10-15T18:49:54.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | buianh0803 | null | null | buianh0803/text-sum-3 | 0 | 2 | transformers | 2023-10-15T14:03:35 | ---
license: apache-2.0
base_model: buianh0803/text-sum-2
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: text-sum-3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: ... | 1,853 | [
[
-0.027130126953125,
-0.0323486328125,
0.000713348388671875,
0.01611328125,
-0.022369384765625,
-0.030853271484375,
-0.0129241943359375,
-0.014373779296875,
0.007549285888671875,
0.032501220703125,
-0.048095703125,
-0.04425048828125,
-0.05621337890625,
-0.004... |
dima806/133_dog_breeds_image_detection | 2023-10-15T14:54:28.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | dima806 | null | null | dima806/133_dog_breeds_image_detection | 0 | 2 | transformers | 2023-10-15T14:52:05 | ---
license: apache-2.0
metrics:
- accuracy
- f1
---
See https://www.kaggle.com/code/dima806/133-dog-breed-image-detection-vit for more details. | 144 | [
[
-0.04656982421875,
-0.04217529296875,
0.02886962890625,
0.0389404296875,
-0.024017333984375,
-0.0240020751953125,
0.02484130859375,
-0.03125,
0.0197906494140625,
0.0119476318359375,
-0.03851318359375,
-0.035003662109375,
-0.0274200439453125,
-0.0236511230468... |
galbitang/autotrain-lamp_1015-95249146314 | 2023-10-15T15:15:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"vit",
"image-classification",
"autotrain",
"vision",
"dataset:galbitang/autotrain-data-lamp_1015",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | galbitang | null | null | galbitang/autotrain-lamp_1015-95249146314 | 0 | 2 | transformers | 2023-10-15T15:07:40 | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-lamp_1015
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teap... | 881 | [
[
-0.0230865478515625,
-0.007801055908203125,
0.0149078369140625,
-0.00035953521728515625,
0.0067901611328125,
0.01198577880859375,
0.007617950439453125,
-0.01568603515625,
-0.018951416015625,
-0.00608062744140625,
-0.031463623046875,
-0.04296875,
-0.0446472167968... |
laksh688/my_first_repo | 2023-10-15T15:51:12.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | laksh688 | null | null | laksh688/my_first_repo | 0 | 2 | sentence-transformers | 2023-10-15T15:39:49 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# laksh688/my_first_repo
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning ... | 1,533 | [
[
-0.006366729736328125,
-0.050811767578125,
0.0282745361328125,
-0.0156402587890625,
-0.01384735107421875,
-0.016265869140625,
-0.020751953125,
-0.00846099853515625,
0.0001760721206665039,
0.043670654296875,
-0.04351806640625,
-0.0262908935546875,
-0.038146972656... |
btoscano/eminem_asr_mind_model | 2023-10-15T22:40:03.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | btoscano | null | null | btoscano/eminem_asr_mind_model | 0 | 2 | transformers | 2023-10-15T20:26:15 | ---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
model-index:
- name: eminem_asr_mind_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | 1,458 | [
[
-0.03619384765625,
-0.051605224609375,
0.003936767578125,
0.0103912353515625,
-0.0103607177734375,
-0.019256591796875,
-0.01522064208984375,
-0.010101318359375,
0.011199951171875,
0.0229339599609375,
-0.066162109375,
-0.0322265625,
-0.05450439453125,
-0.0229... |
LoneStriker/airoboros-m-7b-3.1-3.0bpw-h6-exl2 | 2023-10-15T21:39:39.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:jondurbin/airoboros-3.1",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/airoboros-m-7b-3.1-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-15T21:37:32 | ---
license: apache-2.0
datasets:
- jondurbin/airoboros-3.1
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
#### IMPORTANT NOTE - llama-2 chat format!!!
The airoboros 3.1 models use llama-2 chat format, rather than vicuna style... | 24,394 | [
[
-0.0265960693359375,
-0.0831298828125,
0.033843994140625,
0.0022735595703125,
-0.0010461807250976562,
-0.01470184326171875,
-0.0170440673828125,
-0.01708984375,
0.0380859375,
0.03192138671875,
-0.060943603515625,
-0.042877197265625,
-0.030029296875,
0.007457... |
LoneStriker/airoboros-m-7b-3.1-5.0bpw-h6-exl2 | 2023-10-15T21:52:22.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:jondurbin/airoboros-3.1",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/airoboros-m-7b-3.1-5.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-15T21:52:07 | ---
license: apache-2.0
datasets:
- jondurbin/airoboros-3.1
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
#### IMPORTANT NOTE - llama-2 chat format!!!
The airoboros 3.1 models use llama-2 chat format, rather than vicuna style... | 24,394 | [
[
-0.0265960693359375,
-0.0831298828125,
0.033843994140625,
0.0022735595703125,
-0.0010461807250976562,
-0.01470184326171875,
-0.0170440673828125,
-0.01708984375,
0.0380859375,
0.03192138671875,
-0.060943603515625,
-0.042877197265625,
-0.030029296875,
0.007457... |
LoneStriker/SynthIA-7B-v1.5-5.0bpw-h6-exl2 | 2023-10-15T23:36:10.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/SynthIA-7B-v1.5-5.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-15T23:35:55 | ---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
<br>

<br>
## Example Usage
### Prompt format:
```
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when nece... | 2,455 | [
[
-0.021728515625,
-0.074951171875,
0.0261993408203125,
0.014495849609375,
-0.01348114013671875,
0.004306793212890625,
-0.0164794921875,
-0.00865936279296875,
-0.0007815361022949219,
0.02154541015625,
-0.047607421875,
-0.04010009765625,
-0.022369384765625,
0.0... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 2023-10-16T01:51:56.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-1 | 0 | 2 | transformers | 2023-10-16T01:35:58 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.0305023193359375,
-0.042449951171875,
0.00441741943359375,
0.013458251953125,
-0.02392578125,
-0.0197601318359375,
-0.01361846923828125,
-0.0180206298828125,
0.01373291015625,
0.0280609130859375,
-0.049774169921875,
-0.049835205078125,
-0.039031982421875,
... |
hw2942/chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-f1-v7 | 2023-10-16T02:12:37.000Z | [
"transformers",
"pytorch",
"big_bird",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-f1-v7 | 0 | 2 | transformers | 2023-10-16T01:55:29 | ---
license: apache-2.0
base_model: Lowin/chinese-bigbird-wwm-base-4096
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSEC-f1-v7
results: []
---
<!-- This model card has been generated automatically according to the informati... | 2,063 | [
[
-0.030517578125,
-0.036102294921875,
0.00274658203125,
0.0179443359375,
-0.020904541015625,
-0.027801513671875,
-0.012725830078125,
-0.0267181396484375,
0.0017719268798828125,
0.018798828125,
-0.052459716796875,
-0.049774169921875,
-0.050079345703125,
-0.008... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 2023-10-16T02:15:25.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-2 | 0 | 2 | transformers | 2023-10-16T01:59:00 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.0296630859375,
-0.041748046875,
0.0052490234375,
0.01329803466796875,
-0.022979736328125,
-0.0192718505859375,
-0.0138092041015625,
-0.0195465087890625,
0.0131683349609375,
0.027496337890625,
-0.04888916015625,
-0.049530029296875,
-0.03985595703125,
-0.01... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 2023-10-16T02:39:48.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-3 | 0 | 2 | transformers | 2023-10-16T02:22:45 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.0313720703125,
-0.042449951171875,
0.005939483642578125,
0.01483917236328125,
-0.0215911865234375,
-0.0190887451171875,
-0.0135650634765625,
-0.0173797607421875,
0.0149993896484375,
0.028594970703125,
-0.047576904296875,
-0.049224853515625,
-0.03887939453125,... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 2023-10-16T03:03:53.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-4 | 0 | 2 | transformers | 2023-10-16T02:47:01 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.031402587890625,
-0.042205810546875,
0.006397247314453125,
0.0140228271484375,
-0.0209503173828125,
-0.0182037353515625,
-0.0121002197265625,
-0.017822265625,
0.016204833984375,
0.028228759765625,
-0.048492431640625,
-0.049591064453125,
-0.03857421875,
-0... |
Muzzi/eli5 | 2023-10-16T02:49:34.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:eli5",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Muzzi | null | null | Muzzi/eli5 | 0 | 2 | transformers | 2023-10-16T02:48:27 | ---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- eli5
metrics:
- rouge
model-index:
- name: eli5
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: eli5
type: eli5
config: LFQA_reddit
s... | 1,894 | [
[
-0.0291900634765625,
-0.02984619140625,
0.01465606689453125,
0.0160064697265625,
-0.0248565673828125,
-0.0242767333984375,
-0.007396697998046875,
-0.0148773193359375,
0.004215240478515625,
0.02862548828125,
-0.0516357421875,
-0.056182861328125,
-0.04983520507812... |
astrid01052/test-platypus | 2023-10-16T03:07:45.000Z | [
"peft",
"region:us"
] | null | astrid01052 | null | null | astrid01052/test-platypus | 0 | 2 | peft | 2023-10-16T03:07:06 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 435 | [
[
-0.045318603515625,
-0.04974365234375,
0.03204345703125,
0.031646728515625,
-0.039093017578125,
0.00807952880859375,
0.01143646240234375,
-0.01271820068359375,
-0.01314544677734375,
0.032379150390625,
-0.03973388671875,
-0.00644683837890625,
-0.0343017578125,
... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 2023-10-16T03:28:25.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-5 | 0 | 2 | transformers | 2023-10-16T03:11:03 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,978 | [
[
-0.0321044921875,
-0.043304443359375,
0.006587982177734375,
0.01520538330078125,
-0.0207977294921875,
-0.017333984375,
-0.01245880126953125,
-0.018310546875,
0.0159912109375,
0.0294647216796875,
-0.048980712890625,
-0.05010986328125,
-0.038421630859375,
-0.0... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-7 | 2023-10-16T04:17:03.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-7 | 0 | 2 | transformers | 2023-10-16T03:59:49 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.03167724609375,
-0.04180908203125,
0.006103515625,
0.0158233642578125,
-0.023284912109375,
-0.01861572265625,
-0.01312255859375,
-0.017425537109375,
0.01488494873046875,
0.027923583984375,
-0.048065185546875,
-0.0491943359375,
-0.038055419921875,
-0.01631... |
hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-8 | 2023-10-16T04:41:06.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | hw2942 | null | null | hw2942/bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-8 | 0 | 2 | transformers | 2023-10-16T04:24:14 | ---
base_model: fnlp/bart-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,980 | [
[
-0.031280517578125,
-0.04302978515625,
0.00440216064453125,
0.01502227783203125,
-0.0214996337890625,
-0.0189361572265625,
-0.01300048828125,
-0.018218994140625,
0.015167236328125,
0.0289459228515625,
-0.047637939453125,
-0.049835205078125,
-0.040496826171875,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.