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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
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fairseq-dense-1.3B - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-1.3B-4bits | null | [
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#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
fairseq-dense-1.3B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0mom/sl9 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text2text-generation | transformers |
<!-- 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. -->
# CS505_COQE_viT5_train_Instruction0_OASPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OASPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OASPL | null | [
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|
# CS505_COQE_viT5_train_Instruction0_OASPL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-1.3B - bnb 8bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-1.3B-8bits | null | [
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#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-1.3B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
GPT-Neo-2.7B-Picard - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/K... | {} | RichardErkhov/KoboldAI_-_GPT-Neo-2.7B-Picard-4bits | null | [
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"safetensors",
"gpt_neo",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-17T10:29:06+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
GPT-Neo-2.7B-Picard - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: mit
---
# GPT-Neo 2.7B - Picard
## Model Description
GPT-Neo 2.7B-Picard is a finetune created using EleutherA... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-125M - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-125M-4bits | null | [
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"4-bit",
"region:us"
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"2112.10684"
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#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-125M - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-125M - bnb 8bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-125M-8bits | null | [
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"xglm",
"text-generation",
"arxiv:2112.10684",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-17T10:29:39+00:00 | [
"2112.10684"
] | [] | TAGS
#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-125M - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
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text2text-generation | transformers |
<!-- 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. -->
# CS505_COQE_viT5_train_Instruction0_AOSPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_AOSPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_AOSPL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T10:30:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_AOSPL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
GPT-Neo-2.7B-Picard - bnb 8bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/K... | {} | RichardErkhov/KoboldAI_-_GPT-Neo-2.7B-Picard-8bits | null | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-17T10:31:31+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
GPT-Neo-2.7B-Picard - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
license: mit
---
# GPT-Neo 2.7B - Picard
## Model Description
GPT-Neo 2.7B-Picard is a finetune created using EleutherA... | [
"# GPT-Neo 2.7B - Picard",
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audio-classification | transformers |
<!-- 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. -->
# wav2vec2-base-finetuned-minds-4
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-minds-4", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "... | saketag73/wav2vec2-base-finetuned-minds-4 | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:31:35+00:00 | [] | [] | TAGS
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| wav2vec2-base-finetuned-minds-4
===============================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6086
* Accuracy: 0.1327
Model description
-----------------
More information needed
Intended u... | [
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text-generation | transformers |
#HP discord
#Działaj do cholery
#Ty dziadzie | {"tags": ["conversational"]} | RadoAi/disco-hp | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
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"region:us"
] | null | 2024-04-17T10:32:15+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
#HP discord
#Działaj do cholery
#Ty dziadzie | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-2.7B - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-2.7B-4bits | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"arxiv:2112.10684",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-17T10:33:13+00:00 | [
"2112.10684"
] | [] | TAGS
#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-2.7B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-355M - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-355M-4bits | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"arxiv:2112.10684",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-17T10:33:47+00:00 | [
"2112.10684"
] | [] | TAGS
#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-355M - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #4-bit #region-us \n"
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] |
text-generation | transformers |
# WizardLM-2-4x7B-MoE-exl2-4_25bpw
This is a quantized version of [WizardLM-2-4x7B-MoE](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE) an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). Quantization was done using version 0.0.18 of [ExLlamaV2](https://github.com/turboderp/exll... | {"license": "apache-2.0", "tags": ["MoE", "merge", "mergekit", "Mistral", "Microsoft/WizardLM-2-7B"]} | Skylaude/WizardLM-2-4x7B-MoE-exl2-4_25bpw | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"MoE",
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"Microsoft/WizardLM-2-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-17T10:34:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #MoE #merge #mergekit #Mistral #Microsoft/WizardLM-2-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# WizardLM-2-4x7B-MoE-exl2-4_25bpw
This is a quantized version of WizardLM-2-4x7B-MoE an experimental MoE model made with Mergekit. Quantization was done using version 0.0.18 of ExLlamaV2.
Please be sure to set experts per token to 4 for the best results! Context length should be the same as Mistral-7B-Instruct-v0.... | [
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text2text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Heejindo/r8uuu | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T10:34:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-355M - bnb 8bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-355M-8bits | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"arxiv:2112.10684",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-17T10:34:23+00:00 | [
"2112.10684"
] | [] | TAGS
#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-355M - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
GePpeTto - bnb 4bits
- Model creator: https://huggingface.co/LorenzoDeMattei/
- Original model: https://huggingface.co/Loren... | {} | RichardErkhov/LorenzoDeMattei_-_GePpeTto-4bits | null | [
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"gpt2",
"text-generation",
"arxiv:2004.14253",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:35:23+00:00 | [
"2004.14253"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-2004.14253 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
GePpeTto - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: it
------------
GePpeTto GPT2 Model 🇮🇹
======================
Pretrained GPT2 117M model for Itali... | [] | [
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null | transformers | DPO of MonaTrix-v4 with this dataset: https://huggingface.co/datasets/CultriX/dpo-mix-ambrosia-cleaned
---
tags:
- merge
- mergekit
- lazymergekit
- Kukedlc/NeuralMaxime-7B-slerp
- eren23/ogno-monarch-jaskier-merge-7b
- eren23/dpo-binarized-NeutrixOmnibe-7B
base_model:
- Kukedlc/NeuralMaxime-7B-slerp
- eren23/ogno-mon... | {"license": "apache-2.0"} | CultriX/MonaTrix-v4-7B-DPO | null | [
"transformers",
"safetensors",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:35:26+00:00 | [] | [] | TAGS
#transformers #safetensors #license-apache-2.0 #endpoints_compatible #region-us
| DPO of MonaTrix-v4 with this dataset: URL
---
tags:
- merge
- mergekit
- lazymergekit
- Kukedlc/NeuralMaxime-7B-slerp
- eren23/ogno-monarch-jaskier-merge-7b
- eren23/dpo-binarized-NeutrixOmnibe-7B
base_model:
- Kukedlc/NeuralMaxime-7B-slerp
- eren23/ogno-monarch-jaskier-merge-7b
- eren23/dpo-binarized-NeutrixOmnibe-7B... | [
"# MonaTrix-v4\n\nMonaTrix-v4 is a merge of the following models using LazyMergekit:\n* Kukedlc/NeuralMaxime-7B-slerp\n* eren23/ogno-monarch-jaskier-merge-7b\n* eren23/dpo-binarized-NeutrixOmnibe-7B",
"## Configuration",
"## Usage"
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] |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- 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_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | harish2962/New_tinyllama_Disease_Symptom | null | [
"peft",
"safetensors",
"llama",
"region:us"
] | null | 2024-04-17T10:35:41+00:00 | [] | [] | TAGS
#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- 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_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
GePpeTto - bnb 8bits
- Model creator: https://huggingface.co/LorenzoDeMattei/
- Original model: https://huggingface.co/Loren... | {} | RichardErkhov/LorenzoDeMattei_-_GePpeTto-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:2004.14253",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:35:48+00:00 | [
"2004.14253"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-2004.14253 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
GePpeTto - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: it
------------
GePpeTto GPT2 Model 🇮🇹
======================
Pretrained GPT2 117M model for Itali... | [] | [
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
fairseq-dense-2.7B - bnb 8bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/Ko... | {} | RichardErkhov/KoboldAI_-_fairseq-dense-2.7B-8bits | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"arxiv:2112.10684",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-17T10:36:06+00:00 | [
"2112.10684"
] | [] | TAGS
#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
fairseq-dense-2.7B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
------------
This is a Hugging Face transformers-compatible conversion of the original de... | [] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #arxiv-2112.10684 #autotrain_compatible #endpoints_compatible #8-bit #region-us \n"
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
GePpeTto - GGUF
- Model creator: https://huggingface.co/LorenzoDeMattei/
- Original model: https://huggingface.co/LorenzoDeM... | {} | RichardErkhov/LorenzoDeMattei_-_GePpeTto-gguf | null | [
"gguf",
"arxiv:2004.14253",
"region:us"
] | null | 2024-04-17T10:36:23+00:00 | [
"2004.14253"
] | [] | TAGS
#gguf #arxiv-2004.14253 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
GePpeTto - GGUF
* Model creator: URL
* Original model: URL
Name: GePpeTto.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.06GB
Name: GePpeTto.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.06GB
Name: GePpeTto.IQ3\_S.gguf, Quant method: IQ3\_S, S... | [] | [
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text2text-generation | transformers |
<!-- 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. -->
# CS505_COQE_viT5_train_Instruction0_POSAL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_POSAL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_POSAL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T10:36:47+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_POSAL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_POSAL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | peft |
<!-- 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. -->
# model_hh_usp1_400
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp1_400", "results": []}]} | guoyu-zhang/model_hh_usp1_400 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T10:37:45+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp1\_400
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4291
* Rewards/chosen: -2.1852
* Rewards/rejected: -10.4536
* Rewards/accuracies: 0.6900
* Rewards/margins: 8.2684
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | multimolecule/rna | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:38:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="AmnaShafaq/AA", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "AA", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- 2.75"... | AmnaShafaq/AA | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-17T10:39:43+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2-base-pretrained-he - bnb 4bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://hugging... | {} | RichardErkhov/Norod78_-_distilgpt2-base-pretrained-he-4bits | null | [
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"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:40:13+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
distilgpt2-base-pretrained-he - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "האיש האחרון עלי אדמות ישב לבד בחדרו כשלפתע נשמעה נקישה"
- text: "שלום, קרואי... | [
"# distilgpt2-base-pretrained-he\n\nA tiny GPT2 based Hebrew text generation model initially trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program. Then was further fine-tuned on GPU.",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
hebrew-bad_wiki-gpt_neo-tiny - bnb 4bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://huggingf... | {} | RichardErkhov/Norod78_-_hebrew-bad_wiki-gpt_neo-tiny-4bits | null | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"arxiv:1910.09700",
"arxiv:2105.09680",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-17T10:40:41+00:00 | [
"1910.09700",
"2105.09680"
] | [] | TAGS
#transformers #safetensors #gpt_neo #text-generation #arxiv-1910.09700 #arxiv-2105.09680 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
hebrew-bad_wiki-gpt_neo-tiny - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "מתמטיקה:"
- text: "עליית המכונות"
- text: "ויקיפדיה העברית"
- text: "האירוויז... | [
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fill-mask | transformers |
<!-- 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. -->
# interpro_bert3
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the followin... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "interpro_bert3", "results": []}]} | Dauka-transformers/interpro_bert3 | null | [
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"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:40:46+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| interpro\_bert3
===============
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4142
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2-base-pretrained-he - bnb 8bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://hugging... | {} | RichardErkhov/Norod78_-_distilgpt2-base-pretrained-he-8bits | null | [
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"gpt2",
"text-generation",
"autotrain_compatible",
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:40:49+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
distilgpt2-base-pretrained-he - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "האיש האחרון עלי אדמות ישב לבד בחדרו כשלפתע נשמעה נקישה"
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text-classification | bertopic |
# transformers_issues_topics
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U b... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | mark230271/transformers_issues_topics | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-17T10:40:51+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| transformers\_issues\_topics
============================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as foll... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] | [
13
] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
hebrew-bad_wiki-gpt_neo-tiny - bnb 8bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://huggingf... | {} | RichardErkhov/Norod78_-_hebrew-bad_wiki-gpt_neo-tiny-8bits | null | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"arxiv:1910.09700",
"arxiv:2105.09680",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-17T10:41:09+00:00 | [
"1910.09700",
"2105.09680"
] | [] | TAGS
#transformers #safetensors #gpt_neo #text-generation #arxiv-1910.09700 #arxiv-2105.09680 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
hebrew-bad_wiki-gpt_neo-tiny - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "מתמטיקה:"
- text: "עליית המכונות"
- text: "ויקיפדיה העברית"
- text: "האירוויז... | [
"# hebrew-bad_wiki-gpt_neo-tiny",
"## Table of Contents\n- Model Details\n- Uses\n- Risks, Limitations and Biases\n- Training\n- Evaluation\n- Environmental Impact\n- How to Get Started With the Model",
"## Model Details\nModel Description:\n\nThe model developer notes that the model is \n> Hebrew nonsense gene... | [
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"# hebrew-bad_wiki-gpt_neo-tiny",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2-base-pretrained-he - GGUF
- Model creator: https://huggingface.co/Norod78/
- Original model: https://huggingface.... | {} | RichardErkhov/Norod78_-_distilgpt2-base-pretrained-he-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-17T10:41:27+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
distilgpt2-base-pretrained-he - GGUF
* Model creator: URL
* Original model: URL
Name: distilgpt2-base-pretrained-he.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.06GB
Name: distilgpt2-base-pretrained-he.IQ3\_XS.gguf, Quant method: IQ3\_XS, S... | [
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text2text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nahed22/lora-flan-t5-large-chat | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T10:41:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DialoGPT-sarcastic-medium - bnb 4bits
- Model creator: https://huggingface.co/abhiramtirumala/
- Original model: https://hug... | {} | RichardErkhov/abhiramtirumala_-_DialoGPT-sarcastic-medium-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
DialoGPT-sarcastic-medium - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
Entry not found
| [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
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gpt-2-tamil - bnb 4bits
- Model creator: https://huggingface.co/abinayam/
- Original model: https://huggingface.co/abinayam/... | {} | RichardErkhov/abinayam_-_gpt-2-tamil-4bits | null | [
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:45:12+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
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gpt-2-tamil - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: ta
datasets:
- oscar
- IndicNLP
widget:
- text: 'ஒரு ஊரிலே ஒரு காக்கைக்கு'
---
# GPT2-Tamil
This repository is created as part ... | [
"# GPT2-Tamil\n\nThis repository is created as part of the Flax/Jax community week by Huggingface. The aim of this project is to pretrain a language model using GPT-2 specifically for Tamil language.",
"## Setup:\nTo setup the project, run the following command,",
"## Model:\nPretrained model on Tamil language ... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | spygaurad/code_mix_0_4.5k_peft | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt-2-tamil - bnb 8bits
- Model creator: https://huggingface.co/abinayam/
- Original model: https://huggingface.co/abinayam/... | {} | RichardErkhov/abinayam_-_gpt-2-tamil-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:45:47+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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gpt-2-tamil - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: ta
datasets:
- oscar
- IndicNLP
widget:
- text: 'ஒரு ஊரிலே ஒரு காக்கைக்கு'
---
# GPT2-Tamil
This repository is created as part ... | [
"# GPT2-Tamil\n\nThis repository is created as part of the Flax/Jax community week by Huggingface. The aim of this project is to pretrain a language model using GPT-2 specifically for Tamil language.",
"## Setup:\nTo setup the project, run the following command,",
"## Model:\nPretrained model on Tamil language ... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# GPT2-Tamil\n\nThis repository is created as part of the Flax/Jax community week by Huggingface. The aim of this project is to pretrain a language model using GP... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DialoGPT-sarcastic-medium - bnb 8bits
- Model creator: https://huggingface.co/abhiramtirumala/
- Original model: https://hug... | {} | RichardErkhov/abhiramtirumala_-_DialoGPT-sarcastic-medium-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:45:48+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
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DialoGPT-sarcastic-medium - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
Entry not found
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DialoGPT-sarcastic-medium - GGUF
- Model creator: https://huggingface.co/abhiramtirumala/
- Original model: https://huggingf... | {} | RichardErkhov/abhiramtirumala_-_DialoGPT-sarcastic-medium-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-17T10:46:20+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
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DialoGPT-sarcastic-medium - GGUF
* Model creator: URL
* Original model: URL
Name: DialoGPT-sarcastic-medium.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.07GB
Name: DialoGPT-sarcastic-medium.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.08GB
... | [] | [
"TAGS\n#gguf #region-us \n"
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9
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"TAGS\n#gguf #region-us \n"
] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-indonesia - bnb 4bits
- Model creator: https://huggingface.co/akahana/
- Original model: https://huggingface.co/akahana... | {} | RichardErkhov/akahana_-_gpt2-indonesia-4bits | null | [
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"safetensors",
"gpt2",
"text-generation",
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] | null | 2024-04-17T10:46:42+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
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gpt2-indonesia - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: "id"
widget:
- text: "dahulu kala ada sebuah"
---
## how to use
| [
"## how to use"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Noodlz/Dolph-Lund-Wizard-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Noodlz/Dolph-Lund-Wizard-7B", "quantized_by": "mradermacher"} | mradermacher/Dolph-Lund-Wizard-7B-GGUF | null | [
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"mergekit",
"merge",
"en",
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"license:apache-2.0",
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] | null | 2024-04-17T10:46:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Noodlz/Dolph-Lund-Wizard-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-Noodlz/Dolph-Lund-Wizard-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-indonesia - bnb 8bits
- Model creator: https://huggingface.co/akahana/
- Original model: https://huggingface.co/akahana... | {} | RichardErkhov/akahana_-_gpt2-indonesia-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:47:06+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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gpt2-indonesia - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: "id"
widget:
- text: "dahulu kala ada sebuah"
---
## how to use
| [
"## how to use"
] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-small-arabic - bnb 4bits
- Model creator: https://huggingface.co/akhooli/
- Original model: https://huggingface.co/akho... | {} | RichardErkhov/akhooli_-_gpt2-small-arabic-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:48:02+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
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gpt2-small-arabic - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: "ar"
datasets:
- Arabic Wikipedia
metrics:
- none
---
# GPT2-Small-Arabic
## Model description
GPT2 model from Arabic Wik... | [
"# GPT2-Small-Arabic",
"## Model description\n\nGPT2 model from Arabic Wikipedia dataset based on gpt2-small (using Fastai2).",
"## Intended uses & limitations",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
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gpt2-small-arabic - bnb 8bits
- Model creator: https://huggingface.co/akhooli/
- Original model: https://huggingface.co/akho... | {} | RichardErkhov/akhooli_-_gpt2-small-arabic-8bits | null | [
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"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:48:28+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
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gpt2-small-arabic - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: "ar"
datasets:
- Arabic Wikipedia
metrics:
- none
---
# GPT2-Small-Arabic
## Model description
GPT2 model from Arabic Wik... | [
"# GPT2-Small-Arabic",
"## Model description\n\nGPT2 model from Arabic Wikipedia dataset based on gpt2-small (using Fastai2).",
"## Intended uses & limitations",
"#### How to use\n\nAn example is provided in this colab notebook. \nBoth text and poetry (fine-tuned model) generation are included.",
"#### Limi... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-small-arabic - GGUF
- Model creator: https://huggingface.co/akhooli/
- Original model: https://huggingface.co/akhooli/g... | {} | RichardErkhov/akhooli_-_gpt2-small-arabic-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-17T10:49:02+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
gpt2-small-arabic - GGUF
* Model creator: URL
* Original model: URL
Name: gpt2-small-arabic.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.08GB
Name: gpt2-small-arabic.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.08GB
Name: gpt2-small-arabic.... | [
"#### How to use\n\n\nAn example is provided in this colab notebook.\nBoth text and poetry (fine-tuned model) generation are included.",
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"TAGS\n#gguf #region-us \n",
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"TAGS\n#gguf #region-us \n#### How to use\n\n\nAn example is provided in this colab notebook.\nBoth text and poetry (fine-tuned model) generation are included.#### Limitations and bias\n\n\nGPT2-small-arabic (trained on Arabic Wikipedia) has several limitations in terms of coverage (Arabic Wikipeedia quality, no di... |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
belgpt2 - bnb 4bits
- Model creator: https://huggingface.co/antoinelouis/
- Original model: https://huggingface.co/antoinelo... | {} | RichardErkhov/antoinelouis_-_belgpt2-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:49:32+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
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belgpt2 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* fr
license:
* mit
widget:
* text: Hier, Elon Musk a
* text: Pourquoi a-t-il
* text: Tout à coup, elle... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
belgpt2 - bnb 8bits
- Model creator: https://huggingface.co/antoinelouis/
- Original model: https://huggingface.co/antoinelo... | {} | RichardErkhov/antoinelouis_-_belgpt2-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:50:01+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
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belgpt2 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* fr
license:
* mit
widget:
* text: Hier, Elon Musk a
* text: Pourquoi a-t-il
* text: Tout à coup, elle... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] | [
39
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="arh/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attribu... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | arh/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-17T10:50:05+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw2.5 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T10:50:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.",
"# Prompt Format",
"# Training Methodology\nTess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset... | [
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"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B w... | [
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"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was tra... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="arh/baba", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gy... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "baba", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/- 2.6... | arh/baba | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-17T10:50:54+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
aragpt2-base - bnb 4bits
- Model creator: https://huggingface.co/aubmindlab/
- Original model: https://huggingface.co/aubmin... | {} | RichardErkhov/aubmindlab_-_aragpt2-base-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:2012.15520",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:51:11+00:00 | [
"2012.15520"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
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aragpt2-base - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: ar
datasets:
* wikipedia
* Osian
* 1.5B-Arabic-Corpus
* oscar-arabic-unshuffled
* Assafir(private)... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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48
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
aragpt2-base - bnb 8bits
- Model creator: https://huggingface.co/aubmindlab/
- Original model: https://huggingface.co/aubmin... | {} | RichardErkhov/aubmindlab_-_aragpt2-base-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:2012.15520",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:51:40+00:00 | [
"2012.15520"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
aragpt2-base - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: ar
datasets:
* wikipedia
* Osian
* 1.5B-Arabic-Corpus
* oscar-arabic-unshuffled
* Assafir(private)... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] | [
48
] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
aragpt2-base - GGUF
- Model creator: https://huggingface.co/aubmindlab/
- Original model: https://huggingface.co/aubmindlab/... | {} | RichardErkhov/aubmindlab_-_aragpt2-base-gguf | null | [
"gguf",
"arxiv:2012.15520",
"region:us"
] | null | 2024-04-17T10:52:15+00:00 | [
"2012.15520"
] | [] | TAGS
#gguf #arxiv-2012.15520 #region-us
| Quantization made by Richard Erkhov.
Github
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aragpt2-base - GGUF
* Model creator: URL
* Original model: URL
Name: aragpt2-base.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.09GB
Name: aragpt2-base.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.1GB
Name: aragpt2-base.IQ3\_S.gguf, Quant me... | [] | [
"TAGS\n#gguf #arxiv-2012.15520 #region-us \n"
] | [
18
] | [
"TAGS\n#gguf #arxiv-2012.15520 #region-us \n"
] |
question-answering | transformers |
<!-- 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. -->
# baseroberta-finetuned_squadcovid
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/Facebook... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "baseroberta-finetuned_squadcovid", "results": []}]} | Rahul13/baseroberta-finetuned_squadcovid | null | [
"transformers",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:55:41+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #question-answering #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #endpoints_compatible #region-us
| baseroberta-finetuned\_squadcovid
=================================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8426
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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automatic-speech-recognition | transformers |
<!-- 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. -->
# Whisper Large - Denis Musinguzi
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whis... | {"language": ["sw"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper Large - Denis Musinguzi", "results": [{"task": {"type": "automatic-sp... | dmusingu/WHISPER-MEDIUM-LUGANDA-ASR-CV-14 | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"generated_from_trainer",
"sw",
"dataset:mozilla-foundation/common_voice_14_0",
"base_model:openai/whisper-large",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:55:45+00:00 | [] | [
"sw"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #hf-asr-leaderboard #generated_from_trainer #sw #dataset-mozilla-foundation/common_voice_14_0 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Large - Denis Musinguzi
===============================
This model is a fine-tuned version of openai/whisper-large on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2966
* Wer: 0.2467
* Cer: 0.0700
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
aragpt2-large - bnb 4bits
- Model creator: https://huggingface.co/aubmindlab/
- Original model: https://huggingface.co/aubmi... | {} | RichardErkhov/aubmindlab_-_aragpt2-large-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"custom_code",
"arxiv:2012.15520",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T10:55:45+00:00 | [
"2012.15520"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #custom_code #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
aragpt2-large - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: ar
license: other
license\_name: custom
license\_link: URL
datasets:
* wikipedia
* Osian
* arabic... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #custom_code #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
aragpt2-large - bnb 8bits
- Model creator: https://huggingface.co/aubmindlab/
- Original model: https://huggingface.co/aubmi... | {} | RichardErkhov/aubmindlab_-_aragpt2-large-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"custom_code",
"arxiv:2012.15520",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T10:56:45+00:00 | [
"2012.15520"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #custom_code #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
aragpt2-large - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: ar
license: other
license\_name: custom
license\_link: URL
datasets:
* wikipedia
* Osian
* arabic... | [] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #custom_code #arxiv-2012.15520 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Noodlz/WizardLaker-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Noodlz/WizardLaker-7B", "quantized_by": "mradermacher"} | mradermacher/WizardLaker-7B-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Noodlz/WizardLaker-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T10:56:45+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Noodlz/WizardLaker-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text2text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tgritsaev/my-awesome-model | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:00:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null | Check G-reen/EXPERIMENT-ORPO-m7b2-2-merged (https://huggingface.co/G-reen/EXPERIMENT-ORPO-m7b2-2-merged) for details. | {} | G-reen/EXPERIMENT-ORPO-m7b2-2-lora | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | lauragordo/chest_xray | null | [
"fastai",
"has_space",
"region:us"
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#fastai #has_space #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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text-generation | transformers |
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
**Benchmarks**
Average 59.54
ARC 59.64
HellaSwag 82.44
MMLU 62.25
TruthfulQA 40.09
Winogrande 78.37
GSM8K 34.42
**Training Details**
Duration: ~9 hours on ... | {"license": "apache-2.0"} | G-reen/EXPERIMENT-ORPO-m7b2-2-merged | null | [
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|
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Benchmarks
Average 59.54
ARC 59.64
HellaSwag 82.44
MMLU 62.25
TruthfulQA 40.09
Winogrande 78.37
GSM8K 34.42
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | mrbesher/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | omezzinemariem/mistral-text-to-RULE_merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="shahidaakhtar/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | shahidaakhtar/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
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null | null |
# M7Multi_verse_model-7B
M7Multi_verse_model-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
## 🧩 Configuration
```yaml
models:
- model: liminerity/M7-7b
# No par... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MTSAIR/multi_verse_model"]} | automerger/M7Multi_verse_model-7B | null | [
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#merge #mergekit #lazymergekit #automerger #base_model-MTSAIR/multi_verse_model #license-apache-2.0 #region-us
|
# M7Multi_verse_model-7B
M7Multi_verse_model-7B is an automated merge created by Maxime Labonne using the following configuration.
* MTSAIR/multi_verse_model
## Configuration
## Usage
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="shahidaakhtar/shsh", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "shsh", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/- 2.6... | shahidaakhtar/shsh | null | [
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"region:us"
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_14_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_14_prob | null | [
"bertopic",
"text-classification",
"region:us"
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#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_14\_prob
========================================================================================
This is a BERTopic model.
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null | peft |
<!-- 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. -->
# output
This model is a fine-tuned version of [baichuan-inc/Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-C... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "baichuan-inc/Baichuan2-7B-Chat", "model-index": [{"name": "output", "results": []}]} | hawkling/output | null | [
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"safetensors",
"generated_from_trainer",
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#peft #safetensors #generated_from_trainer #base_model-baichuan-inc/Baichuan2-7B-Chat #region-us
|
# output
This model is a fine-tuned version of baichuan-inc/Baichuan2-7B-Chat on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin41 | null | [
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"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - Hibon/dogbooth
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "stabilityai/stable-diffusion-2-1", "inference": true, "instance_prompt": "a photo of [v]dog"} | Hibon/dogbooth | null | [
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|
# DreamBooth - Hibon/dogbooth
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of [v]dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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#### H... | [
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question-answering | transformers |
# mT5-small based Turkish Question Answering System
[Google's Multilingual T5-small](https://huggingface.co/google/mt5-small) is fine-tuned on [Turkish SQuAD](https://github.com/boun-tabi/SQuAD-TR) for **Q&A** downstream task by using Pytorch Lightning.
The notebook that includes all fine tuning process will be shar... | {"language": ["tr"], "license": "mit", "tags": ["text-generation", "question-answering", "turkish", "squad", "mt5"], "pipeline_tag": "question-answering"} | anilguven/mt5-small_squad_tr | null | [
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|
# mT5-small based Turkish Question Answering System
Google's Multilingual T5-small is fine-tuned on Turkish SQuAD for Q&A downstream task by using Pytorch Lightning.
The notebook that includes all fine tuning process will be shared on my Github page later github. mT5 small model has 300 million parameters and model ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-12-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-12-layer"]} | Citaman/command-r-11-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-12-layer
### Configuration
The following YAML configuration w... | [
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null | peft |
<!-- 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. -->
# model_usp2_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp2_dpo1", "results": []}]} | guoyu-zhang/model_usp2_dpo1 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_usp2\_dpo1
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0445
* Rewards/chosen: -10.7928
* Rewards/rejected: -14.2959
* Rewards/accuracies: 0.7400
* Rewards/margins: 3.5031
* Logp... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | UXAIR/ppo-huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | ikerzubi/docknet | null | [
"fastai",
"has_space",
"region:us"
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#fastai #has_space #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen1.5-32B-Chat](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Qwen/Qwen1.5-32B-Chat"]} | zypcastles/Qwen1.5-48B-Chat | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:16:12+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #mergekit #merge #conversational #base_model-Qwen/Qwen1.5-32B-Chat #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Qwen/Qwen1.5-32B-Chat
### Configuration
The following YAML configuration ... | [
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null | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dp911/phituned3 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Trubnik1967/zephyr-7b-beta-Agent-Instruct_v3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- 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. -->
# dummy-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "dummy-model", "results": []}]} | bluspark/dummy-model | null | [
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"license:apache-2.0",
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|
# dummy-model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | adediu25/implicit-llama2-all | null | [
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** ranggaaldosas
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ranggaaldosas/lora_model_gemma2b | null | [
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|
# Uploaded model
- Developed by: ranggaaldosas
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/CeptrixBeagle-12B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/NeuralCeptrix-7B-slerp", "paulml/OmniBeagleSquaredMBX-v3-7B"], "base_model": "allknowingroger/CeptrixBeagle-12B-MoE", "quantized_by": "mradermacher"} | mradermacher/CeptrixBeagle-12B-MoE-GGUF | null | [
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | TYZY89/Llama2-7b-dpo | null | [
"transformers",
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"llama",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:24:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- 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. -->
# trained_weights
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "trained_weights", "results": []}]} | adediu25/trained_weights | null | [
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"license:llama2",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| trained\_weights
================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0042
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# Marcoro14-7B-ties
Marcoro14-7B-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mist... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | pwei07/Marcoro14-7B-ties | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:25:18+00:00 | [] | [] | TAGS
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|
# Marcoro14-7B-ties
Marcoro14-7B-ties is a merge of the following models using mergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
| [
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"## Configuration"
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image-classification | transformers |
<!-- 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. -->
# convnext-large-384-22k-1k-Kontur-competition
This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "facebook/convnext-large-384-22k-1k", "model-index": [{"name": "convnext-large-384-22k-1k-Kontur-competition", "results": []}]} | t1msan/convnext-large-384-22k-1k-Kontur-competition | null | [
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"license:apache-2.0",
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"endpoints_compatible",
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| convnext-large-384-22k-1k-Kontur-competition
============================================
This model is a fine-tuned version of facebook/convnext-large-384-22k-1k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0020
Model description
-----------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 48\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | filodoxia/ppo-Huggy | null | [
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"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-17T11:26:55+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ranggaaldosas
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ranggaaldosas/simple_gemma2b | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-17T11:29:25+00:00 | [] | [
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|
# Uploaded model
- Developed by: ranggaaldosas
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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null | peft |
<!-- 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. -->
# model_hh_usp2_400
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp2_400", "results": []}]} | guoyu-zhang/model_hh_usp2_400 | null | [
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"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T11:31:02+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp2\_400
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1146
* Rewards/chosen: -10.1910
* Rewards/rejected: -12.8552
* Rewards/accuracies: 0.5700
* Rewards/margins: 2.6642
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-Wi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Elizezen/Sapphire-7B", "amazingvince/Not-WizardLM-2-7B", "Elizezen/Antler-7B"]} | Exveria/mergetest02 | null | [
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"arxiv:2306.01708",
"base_model:Elizezen/Sapphire-7B",
"base_model:amazingvince/Not-WizardLM-2-7B",
"base_model:Elizezen/Antler-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-17T11:33:53+00:00 | [
"2306.01708"
] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using amazingvince/Not-WizardLM-2-7B as a base.
### Models Merged
The following models were included in the merge:
* Elizezen/Sapphire-7B
* Elizezen/Ant... | [
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null | peft |
<!-- 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. -->
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct_mentalhealthmodel_oct23", "results": []}]} | ckhjilfweqhgih/falcon7binstruct_mentalhealthmodel_oct23 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #license-apache-2.0 #region-us
|
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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text-generation | transformers | Test model.
Under testing...
Recipe:
```yaml
base_model: /content/InfinityRP
gate_mode: random
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
## (optional)
experts_per_token: 2
experts:
- source_model: /content/Aurav2
positive_prompts: []
- source_model: /content/Spice
positive_prompts: []... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mixtral"]} | R136a1/BeyondInfinity-v2-4x7B | null | [
"transformers",
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"text-generation",
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"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Test model.
Under testing...
Recipe:
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fill-mask | transformers |
<!-- 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. -->
# bert-leg-al-perplexity
This model is a fine-tuned version of [PlanTL-GOB-ES/RoBERTalex](https://huggingface.co/PlanTL-GOB-ES/RoB... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "PlanTL-GOB-ES/RoBERTalex", "model-index": [{"name": "bert-leg-al-perplexity", "results": []}]} | desarrolloasesoreslocales/bert-leg-al-perplexity | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-17T11:35:17+00:00 | [] | [] | TAGS
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| bert-leg-al-perplexity
======================
This model is a fine-tuned version of PlanTL-GOB-ES/RoBERTalex on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2238
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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text-generation | transformers |
# Boundary-mistral-4x7b-MoE
Boundary-mistral-4x7b-MoE is a Mixture of Experts (MoE) made with the following models:
* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [teknium/OpenHer... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2", "teknium/OpenHermes-2.5-Mistral-7B", "meta-math/MetaMath-Mistral-7B", "Mistral"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2", "teknium/OpenHermes-... | NotAiLOL/Boundary-mistral-4x7b-MoE | null | [
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"meta-math/MetaMath-Mistral-7B",
"Mistral",
"conversational",
"base_model:HuggingFaceH4/zephyr... | null | 2024-04-17T11:36:00+00:00 | [] | [] | TAGS
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# Boundary-mistral-4x7b-MoE
Boundary-mistral-4x7b-MoE is a Mixture of Experts (MoE) made with the following models:
* HuggingFaceH4/zephyr-7b-beta
* mistralai/Mistral-7B-Instruct-v0.2
* teknium/OpenHermes-2.5-Mistral-7B
* meta-math/MetaMath-Mistral-7B
## Configuration
## Usage
| [
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text-classification | transformers |
<!-- 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. -->
# CS505-Dev-CSI-PhoBERT_base_h2
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-ba... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base", "model-index": [{"name": "CS505-Dev-CSI-PhoBERT_base_h2", "results": []}]} | ThuyNT/CS505-Dev-CSI-PhoBERT_base_h2 | null | [
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"text-classification",
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-17T11:38:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base #autotrain_compatible #endpoints_compatible #region-us
|
# CS505-Dev-CSI-PhoBERT_base_h2
This model is a fine-tuned version of vinai/phobert-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
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text-generation | transformers |
# 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | samehfarouk/quantized_Mistral7B_v2_int8 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | peft |
<!-- 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. -->
# Trial1-phi2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dat... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Trial1-phi2", "results": []}]} | krishnakekan01/Trial1-phi2 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-2",
"license:mit",
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us
|
# Trial1-phi2
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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"## Training and evaluation data\n\nMore information needed",
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question-answering | transformers |
<!-- 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. -->
# nithin666/bert-finetuned-squad-5epoch-og
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-cased", "model-index": [{"name": "nithin666/bert-finetuned-squad-5epoch-og", "results": []}]} | nithin666/bert-finetuned-squad-5epoch-og | null | [
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"question-answering",
"generated_from_keras_callback",
"base_model:bert-base-cased",
"license:apache-2.0",
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"region:us"
] | null | 2024-04-17T11:44:50+00:00 | [] | [] | TAGS
#transformers #tf #bert #question-answering #generated_from_keras_callback #base_model-bert-base-cased #license-apache-2.0 #endpoints_compatible #region-us
| nithin666/bert-finetuned-squad-5epoch-og
========================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.2594
* Epoch: 0
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 27730, 'end\\_learn... | [
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