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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": []} | scshin88/ManfromKorea_class | 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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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-llamalfg11 | 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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fill-mask | 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. -->
# Ketki0203/xlm-roberta-base-finetuned-wikitext2
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-rob... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "xlm-roberta-base", "model-index": [{"name": "Ketki0203/xlm-roberta-base-finetuned-wikitext2", "results": []}]} | Ketki0203/xlm-roberta-base-finetuned-wikitext2 | null | [
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| Ketki0203/xlm-roberta-base-finetuned-wikitext2
==============================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1287
* Validation Loss: 0.0546
* Epoch: 0
Model description
---------... | [
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null | null | ## WiNGPT2
[WiNGPT](https://github.com/winninghealth/WiNGPT2) 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
## 更新日志
[2024/04/24] 更新 WiNGPT2-Llama-3-8B-Chat-AWQ，WiNGPT2-Llama-3-8B-Chat-GGUF 量化模型
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 和 WiNGPT2-Llama-3-8B-Chat 模型（中文增强/多语言）与测... | {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["medical"]} | winninghealth/WiNGPT2-Llama-3-8B-Chat-GGUF | null | [
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| WiNGPT2
-------
WiNGPT 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
更新日志
----
[2024/04/24] 更新 WiNGPT2-Llama-3-8B-Chat-AWQ，WiNGPT2-Llama-3-8B-Chat-GGUF 量化模型
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 和 WiNGPT2-Llama-3-8B-Chat 模型（中文增强/多语言）与测评结果
[2024/04/01] 更新 WiNEval 测评结... | [
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feature-extraction | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep31 | 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 the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers |
# Uploaded model
- **Developed by:** Akirami
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Akirami/llama3-8b-orpo-truthy | null | [
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- Developed by: Akirami
- License: apache-2.0
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<img src="URL width="200"/>
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automatic-speech-recognition | peft |
# whisper-medium-5k
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1389
## Model description
More information needed
## Intended uses & limitations
More information ... | {"language": ["ja"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer", "ctranslate2"], "datasets": ["google/fleurs", "mozilla-foundation/common_voice_16_1", "joujiboi/japanese-anime-speech"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "pipeline_tag": "automatic-speech-r... | sin2piusc/whisper-medium-5k-jp | null | [
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| whisper-medium-5k
=================
This model is a fine-tuned version of openai/whisper-medium on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1389
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "[0:00:00] null: \n\n[0:00:14] spk_0: sir. This is manna calling from my dear. Than... | Megatron17/setfit-paraphrase-mpnet-base-v2-sst2 | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - DileepPatruni/CarImagesTrainedModel
<Gallery />
## Model description
These are DileepPatruni/CarImagesTrainedModel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the te... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a car on a road"} | DileepPatruni/CarImagesTrainedModelDreambooth | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# AutoTrain SDXL LoRA DreamBooth - DileepPatruni/CarImagesTrainedModel
<Gallery />
## Model description
These are DileepPatruni/CarImagesTrainedModel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
S... | [
"# AutoTrain SDXL LoRA DreamBooth - DileepPatruni/CarImagesTrainedModel\n\n<Gallery />",
"## Model description\n\nThese are DileepPatruni/CarImagesTrainedModel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enable... | [
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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": []} | juewang/Meta-Llama-3-4B-mlp-pruned | 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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- License... | [
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null | 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. -->
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh-Step2-v1
This model is a fine-tuned version of [allistair99/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["srh_test66"], "base_model": "allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2", "model-index": [{"name": "distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh-Step2-v1", "results": []}]} | allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh-Step2-v1 | null | [
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|
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh-Step2-v1
This model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2 on the srh_test66 dataset.
## Model description
More information needed
## Intended uses & limitations
More informatio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/BioMistral/BioMistral-DARE-NS
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "BioMistral/BioMistral-DARE-NS", "quantized_by": "mradermacher"} | mradermacher/BioMistral-DARE-NS-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-BioMistral/BioMistral-DARE-NS #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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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": []} | santoshsto/mistral-7b-cpp-FINETUNED-16bit | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers | senti_tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = AutoModelForSequenceClassification.from_pretrained("weip9012/tesla_earningscall_sentiment_analysis")
0: 'Neutral', 1: 'Positive', 2: 'Negative'
| {} | weip9012/tesla_earningscall_sentiment_analysis | null | [
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#transformers #safetensors #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| senti_tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = AutoModelForSequenceClassification.from_pretrained("weip9012/tesla_earningscall_sentiment_analysis")
0: 'Neutral', 1: 'Positive', 2: 'Negative'
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text-generation | transformers | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
We don't know how good this model is exactly in benchmarks since we have not benched this yet, but we think real prompts and usage is more telling anyways.
From our testi... | {"license": "apache-2.0"} | AwanLLM/Meta-Llama-3-8B-Instruct-Dolfin-AWQ | null | [
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"4-bit",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
We don't know how good this model is exactly in benchmarks since we have not benched this yet, but we think real prompts and usage is more telling anyways.
From our testing this model is:
- Less Refusals
- More Uncensored
- ... | [] | [
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text-generation | transformers |
- **Developed by:** kevinkawchak
- **License:** llama3
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
- **Finetuned using dataset :** zjunlp/Mol-Instructions, cc-by-4.0
- **Dataset identification:** Molecule-oriented Instructions
- **Dataset function:** Description guided molecule design
The follow... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "datasets": ["zjunlp/Mol-Instructions"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | kevinkawchak/Meta-Llama-3-8B-Instruct-Molecule16 | null | [
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|
- Developed by: kevinkawchak
- License: llama3
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
- Finetuned using dataset : zjunlp/Mol-Instructions, cc-by-4.0
- Dataset identification: Molecule-oriented Instructions
- Dataset function: Description guided molecule design
The following are modifications or... | [] | [
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text-to-audio | 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. -->
# SpeechT5-TTS-Nepali-SLR43-SLR143-SWOS
This model is a fine-tuned version of [aryamanstha/speecht5_nepali_oslr43_oslr143](https:/... | {"language": ["ne"], "tags": ["generated_from_trainer"], "datasets": ["swos"], "base_model": "aryamanstha/speecht5_nepali_oslr43_oslr143", "model-index": [{"name": "SpeechT5-TTS-Nepali-SLR43-SLR143-SWOS", "results": []}]} | rikeshsilwalekg/speecht5_tts_nepali_slr43_slr143_swos | null | [
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| SpeechT5-TTS-Nepali-SLR43-SLR143-SWOS
=====================================
This model is a fine-tuned version of aryamanstha/speecht5\_nepali\_oslr43\_oslr143 on the swos dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4827
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 64\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\\_step... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Dionick
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Dionick/llama3-finetuned-alpaca-Digvijay-phutane | null | [
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|
# Uploaded model
- Developed by: Dionick
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** kevinkawchak
- **License:** llama3
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
- **Finetuned using dataset :** zjunlp/Mol-Instructions, cc-by-4.0
- **Dataset identification:** Molecule-oriented Instructions
- **Dataset function:** Description guided molecule... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["zjunlp/Mol-Instructions"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | kevinkawchak/Meta-Llama-3-8B-Instruct-Molecule04 | null | [
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|
# Uploaded model
- Developed by: kevinkawchak
- License: llama3
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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- Dataset identification: Molecule-oriented Instructions
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The following a... | [
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | ar9av/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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 h... | [
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fill-mask | 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": []} | mysterySu/dummy-model | 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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null | null |
This is a dummy model!
Update from local machine! | {"language": ["en"], "license": "mit"} | prabhuvashwin/new-dummy-model | null | [
"en",
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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. -->
# basit12/emotion-analysis-with-distilbert
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "basit12/emotion-analysis-with-distilbert", "results": []}]} | basit12/emotion-analysis-with-distilbert | null | [
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| basit12/emotion-analysis-with-distilbert
========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0811
* Validation Loss: 0.1993
* Train Accuracy: 0.9325
* Epoch: 4
Model d... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Kozilek/PPO-MlpPolicy_LunarLanderV2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"model-index",
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] | null | 2024-04-24T06:57:09+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
# DavidAU/GALAXY-16B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY-16B-v1.0`](https://huggingface.co/TeeZee/GALAXY-16B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | DavidAU/GALAXY-16B-v1.0-Q6_K-GGUF | null | [
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|
# DavidAU/GALAXY-16B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY-16B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50 | null | [
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### 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 | 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"]} | flashus/ppo-Huggy | null | [
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"onnx",
"Huggy",
"deep-reinforcement-learning",
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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
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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": []} | juewang/Meta-Llama-3-2B-mlp-layer-pruned | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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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.
- Developed by:
- Funded by [optional]:
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null | 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. -->
# PolizzeDonut-UltimaProvaCluster-Cluster1di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster1di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster1di7-5epochs | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
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|
# PolizzeDonut-UltimaProvaCluster-Cluster1di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | null |
# DavidAU/GALAXY-16B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY-16B-v1.0`](https://huggingface.co/TeeZee/GALAXY-16B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | DavidAU/GALAXY-16B-v1.0-Q8_0-GGUF | null | [
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"dataset:MinervaAI/Aesir-Preview",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"re... | null | 2024-04-24T07:01:32+00:00 | [] | [
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|
# DavidAU/GALAXY-16B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY-16B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# DavidAU/GALAXY-16B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY-16B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "Trelis/Llama-2-7b-chat-hf-sharded-bf16"} | Vibhav1612/LlamaQuantized | null | [
"peft",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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. -->
# Flant5-offensive-multilingual
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1"], "base_model": "google/flan-t5-base", "model-index": [{"name": "Flant5-offensive-multilingual", "results": []}]} | JenniferHJF/Flant5-offensive-multilingual | null | [
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| Flant5-offensive-multilingual
=============================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0012
* Precision: 0.6875
* Recall: 0.6040
* F1: 0.6430
* Total Predictions: 3532
Model description
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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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null | null |
# Yamshadowexperiment28Experiment26-7B
Yamshadowexperiment28Experiment26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: automerger/YamshadowExperiment28-7B
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Yamshadowexperiment28Experiment26-7B | null | [
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"mergekit",
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"automerger",
"license:apache-2.0",
"region:us"
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Yamshadowexperiment28Experiment26-7B
Yamshadowexperiment28Experiment26-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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... | {"license": "apache-2.0", "library_name": "transformers"} | Akirami/truthy-llama3-8b | null | [
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"endpoints_compatible",
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"4-bit",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 | null |
# DavidAU/GALAXY-16B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY-16B-v1.0`](https://huggingface.co/TeeZee/GALAXY-16B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfac... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | DavidAU/GALAXY-16B-v1.0-Q4_K_M-GGUF | null | [
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|
# DavidAU/GALAXY-16B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY-16B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# DavidAU/GALAXY-16B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY-16B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | # SecGPT 网络安全大模型
### **项目**
- [GitHub](https://github.com/Clouditera/SecGPT)
- [原版Pytorch模型](https://huggingface.co/clouditera/secgpt)
### **简介**
- 随着大语言模型的崛起，网安大模型也掀起了一股热潮，本人在逛 GitHub 时偶然发现了云起无垠开源的 SecGPT，但官方调用脚本中使用了 Cuda，且没有提供 GGUF 版本，故使用了 [llama.cpp](https://github.com/ggerganov/llama.cpp) 的 convert 脚本进行转换，并上传至huggi... | {"language": ["zh"], "license": "apache-2.0", "tags": ["cybersecurity"]} | LingJingMaster/Clouditera-SecGPT-GGUF | null | [
"gguf",
"cybersecurity",
"zh",
"license:apache-2.0",
"region:us"
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"zh"
] | TAGS
#gguf #cybersecurity #zh #license-apache-2.0 #region-us
| # SecGPT 网络安全大模型
### 项目
- GitHub
- 原版Pytorch模型
### 简介
- 随着大语言模型的崛起，网安大模型也掀起了一股热潮，本人在逛 GitHub 时偶然发现了云起无垠开源的 SecGPT，但官方调用脚本中使用了 Cuda，且没有提供 GGUF 版本，故使用了 URL 的 convert 脚本进行转换，并上传至huggingface
### 测试设备
- MacBook Pro 16 寸
- M3 Max
- 48 GB
### Usage
- 分为 'URL' 与 'URL' 两个版本
- 'URL' 需 26.5 G 显存
- 'URL' 需 1.6 G 显存
- 使用方法
- 将... | [
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null | null | This model is trained to recognise Indian Sign Language(ISL) which is trained using video dataset available here -- https://zenodo.org/records/4010759 | {"language": ["en"], "license": "mit", "tags": ["art"], "metrics": ["Testing accuracy of 44%"]} | cdsteameight/ISL-SignLanguageTranslation | null | [
"art",
"en",
"license:mit",
"region:us"
] | null | 2024-04-24T07:07:40+00:00 | [] | [
"en"
] | TAGS
#art #en #license-mit #region-us
| This model is trained to recognise Indian Sign Language(ISL) which is trained using video dataset available here -- URL | [] | [
"TAGS\n#art #en #license-mit #region-us \n"
] | [
13
] | [
"TAGS\n#art #en #license-mit #region-us \n"
] |
null | null |
# DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from [`ajibawa-2023/Scarlett-Llama-3-8B`](https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code", "llama-cpp", "gguf-my-repo"], "license_name": "llama3", "license_link": "LICENSE", "model-index": [{"name": "Scarlett-Llama-3-8B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF | null | [
"gguf",
"art",
"philosophy",
"romance",
"jokes",
"advice",
"code",
"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
"model-index",
"region:us"
] | null | 2024-04-24T07:08:53+00:00 | [] | [
"en"
] | TAGS
#gguf #art #philosophy #romance #jokes #advice #code #llama-cpp #gguf-my-repo #en #license-other #model-index #region-us
|
# DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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"# DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the o... | [
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"TAGS\n#gguf #art #philosophy #romance #jokes #advice #code #llama-cpp #gguf-my-repo #en #license-other #model-index #region-us \n# DavidAU/Scarlett-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the origina... |
text-generation | transformers |
## Model Card for Model ID
French-Alpaca based on microsoft/Phi-3-mini-4k-instruct
4k is the context length (in tokens)
### Model Description
fine-tuned from the original French-Alpaca-dataset entirely ge... | {"language": ["fr", "en"], "license": "mit", "library_name": "transformers", "tags": ["Phi-3", "french", "Phi-3-mini", "french-alpaca"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"]} | jpacifico/French-Alpaca-Phi-3-mini-4k-instruct-v1.0 | null | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"Phi-3",
"french",
"Phi-3-mini",
"french-alpaca",
"conversational",
"custom_code",
"fr",
"en",
"dataset:jpacifico/French-Alpaca-dataset-Instruct-110K",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"... | null | 2024-04-24T07:08:54+00:00 | [] | [
"fr",
"en"
] | TAGS
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|
## Model Card for Model ID
French-Alpaca based on microsoft/Phi-3-mini-4k-instruct
4k is the context length (in tokens)
!image/jpeg
### Model Description
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
French-Alpaca is a general model and can itself be finetune... | [
"## Model Card for Model ID\n\nFrench-Alpaca based on microsoft/Phi-3-mini-4k-instruct \n4k is the context length (in tokens)\n\n!image/jpeg",
"### Model Description\n\nfine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo. \nFrench-Alpaca is a general model and can its... | [
"TAGS\n#transformers #safetensors #phi3 #text-generation #Phi-3 #french #Phi-3-mini #french-alpaca #conversational #custom_code #fr #en #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"## Model Card for Model ID\n\nFrench-Alpaca based... | [
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"TAGS\n#transformers #safetensors #phi3 #text-generation #Phi-3 #french #Phi-3-mini #french-alpaca #conversational #custom_code #fr #en #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #license-mit #autotrain_compatible #endpoints_compatible #region-us \n## Model Card for Model ID\n\nFrench-Alpaca based on mi... |
null | null |
# DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from [`ajibawa-2023/Young-Children-Storyteller-Mistral-7B`](https://huggingface.co/ajibawa-2023/Young-Children-Storyteller-Mistral-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-or... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "young children", "educational", "knowledge", "llama-cpp", "gguf-my-repo"], "datasets": ["ajibawa-2023/Children-Stories-Collection"], "model-index": [{"name": "Young-Children-Storyteller-Mistral-7B", "results": [{"task": {"type": "text-generation", "name":... | DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF | null | [
"gguf",
"story",
"young children",
"educational",
"knowledge",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:ajibawa-2023/Children-Stories-Collection",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-24T07:10:09+00:00 | [] | [
"en"
] | TAGS
#gguf #story #young children #educational #knowledge #llama-cpp #gguf-my-repo #en #dataset-ajibawa-2023/Children-Stories-Collection #license-apache-2.0 #model-index #region-us
|
# DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from 'ajibawa-2023/Young-Children-Storyteller-Mistral-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the... | [
"# DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Young-Children-Storyteller-Mistral-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.... | [
"TAGS\n#gguf #story #young children #educational #knowledge #llama-cpp #gguf-my-repo #en #dataset-ajibawa-2023/Children-Stories-Collection #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Young-C... | [
63,
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"TAGS\n#gguf #story #young children #educational #knowledge #llama-cpp #gguf-my-repo #en #dataset-ajibawa-2023/Children-Stories-Collection #license-apache-2.0 #model-index #region-us \n# DavidAU/Young-Children-Storyteller-Mistral-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Young-Childre... |
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. -->
# lnmt
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "lnmt", "results": []}]} | carmenlozano/lnmt | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T07:10:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| lnmt
====
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7972
* Accuracy: {'accuracy': 0.6208813838550247}
* F1 Macro: {'f1': 0.3506606197441491}
* F1 Weighted: {'f1': 0.6062668131729496}
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during t... | [
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"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... |
text-generation | transformers |
# OpenLLaMA: An Open Reproduction of LLaMA
In this repo, we present a permissively licensed open source reproduction of Meta AI's [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) large language model. We are releasing a 7B and 3B model trained on 1T tokens, as well as the preview of a 13B mo... | {"license": "apache-2.0", "datasets": ["togethercomputer/RedPajama-Data-1T"]} | titanbot/ct2-int8-open-llama-7b | null | [
"transformers",
"llama",
"text-generation",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T07:11:49+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #dataset-togethercomputer/RedPajama-Data-1T #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| OpenLLaMA: An Open Reproduction of LLaMA
========================================
In this repo, we present a permissively licensed open source reproduction of Meta AI's LLaMA large language model. We are releasing a 7B and 3B model trained on 1T tokens, as well as the preview of a 13B model trained on 600B tokens. We... | [
"### Loading the Weights with Hugging Face Transformers\n\n\nPreview checkpoints can be directly loaded from Hugging Face Hub. Please note that it is advised to avoid using the Hugging Face fast tokenizer for now, as we’ve observed that the auto-converted fast tokenizer sometimes gives incorrect tokenizations. This... | [
"TAGS\n#transformers #llama #text-generation #dataset-togethercomputer/RedPajama-Data-1T #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Loading the Weights with Hugging Face Transformers\n\n\nPreview checkpoints can be directly loaded from Hugging F... | [
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"TAGS\n#transformers #llama #text-generation #dataset-togethercomputer/RedPajama-Data-1T #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Loading the Weights with Hugging Face Transformers\n\n\nPreview checkpoints can be directly loaded from Hugging Face Hu... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/KnutJaegersberg/Llama3-Deita-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "base_model": "KnutJaegersberg/Llama3-Deita-8b", "quantized_by": "mradermacher"} | mradermacher/Llama3-Deita-8b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:KnutJaegersberg/Llama3-Deita-8b",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T07:13:51+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-KnutJaegersberg/Llama3-Deita-8b #license-llama3 #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 #en #base_model-KnutJaegersberg/Llama3-Deita-8b #license-llama3 #endpoints_compatible #region-us \n"
] | [
44
] | [
"TAGS\n#transformers #gguf #en #base_model-KnutJaegersberg/Llama3-Deita-8b #license-llama3 #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ValiantLabs/Llama3-70B-ShiningValiant2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ll... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["shining-valiant", "shining-valiant-2", "valiant", "valiant-labs", "llama", "llama-3", "llama-3-instruct", "llama-3-instruct-70b", "70b", "conversational", "chat", "instruct"], "base_model": "ValiantLabs/Llama3-70B-ShiningValiant2", "lice... | mradermacher/Llama3-70B-ShiningValiant2-GGUF | null | [
"transformers",
"gguf",
"shining-valiant",
"shining-valiant-2",
"valiant",
"valiant-labs",
"llama",
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"llama-3-instruct",
"llama-3-instruct-70b",
"70b",
"conversational",
"chat",
"instruct",
"en",
"base_model:ValiantLabs/Llama3-70B-ShiningValiant2",
"license:other",
"endpo... | null | 2024-04-24T07:14:00+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #shining-valiant #shining-valiant-2 #valiant #valiant-labs #llama #llama-3 #llama-3-instruct #llama-3-instruct-70b #70b #conversational #chat #instruct #en #base_model-ValiantLabs/Llama3-70B-ShiningValiant2 #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] | [
97
] | [
"TAGS\n#transformers #gguf #shining-valiant #shining-valiant-2 #valiant #valiant-labs #llama #llama-3 #llama-3-instruct #llama-3-instruct-70b #70b #conversational #chat #instruct #en #base_model-ValiantLabs/Llama3-70B-ShiningValiant2 #license-other #endpoints_compatible #region-us \n"
] |
null | transformers |
# Uploaded model
- **Developed by:** Tina2088
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Tina2088/lora_model | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T07:15:41+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: Tina2088
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Tina2088\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: Tina2088\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThi... | [
64,
81
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"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: Tina2088\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llam... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | nikola13/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T07:16:22+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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. -->
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | jiaqianwu/ppo-CartPole-v1 | null | [
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|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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null | 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. -->
# donut_synDB_big
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_big", "results": []}]} | Donut01/donut_synDB_big | null | [
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| donut\_synDB\_big
=================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0569
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text2text-generation | transformers |
# PLLaVA Model Card
## Model details
**Model type:**
PLLaVA-13B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-13b-hf
**Model date:**
P... | {"license": "apache-2.0", "tags": ["video LLM"], "datasets": ["OpenGVLab/VideoChat2-IT"]} | ermu2001/pllava-13b | null | [
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|
# PLLaVA Model Card
## Model details
Model type:
PLLaVA-13B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-13b-hf
Model date:
PLLaVA-13... | [
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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": []} | chcho/OrpoLlama-3-8B | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v02_16bit | null | [
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text-classification | 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": []} | kangXn/engu-sb-mde | null | [
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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. -->
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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. -->
# sourav10/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "sourav10/my_awesome_qa_model", "results": []}]} | sourav10/my_awesome_qa_model | null | [
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| sourav10/my\_awesome\_qa\_model
===============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.5831
* Validation Loss: 1.7498
* Epoch: 2
Model description
-----------------
More informa... | [
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null | 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. -->
# PolizzeDonut-UltimaProvaCluster-Cluster2di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster2di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster2di7-5epochs | null | [
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|
# PolizzeDonut-UltimaProvaCluster-Cluster2di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers | UniMERNet: A Universal Network for Mathematical Expression Recognition in Real-World Scenarios.
Visit our GitHub repository at [unimernet](https://github.com/opendatalab/unimernet) for more information. | {"license": "apache-2.0"} | wanderkid/unimernet | null | [
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| UniMERNet: A Universal Network for Mathematical Expression Recognition in Real-World Scenarios.
Visit our GitHub repository at unimernet for more information. | [] | [
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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:
* [tensorplex-labs/pretraining-sn9-7B-5](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tensorplex-labs/pretraining-sn9-7B-5", "tensorplex-labs/pretraining-sn9-7B-2"]} | Sumail/zhun04 | 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:
* tensorplex-labs/pretraining-sn9-7B-5
* tensorplex-labs/pretraining-sn9-7B-2
### ... | [
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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
### Models Merged
The following models were included in the merge:
* [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B)
* [HuggingFaceH4/zephyr-orpo-141b-A... | {"license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/WizardLM-2-8x22B", "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1"]} | tlphams/Wizard-Zephyr-Orpo-8x22B | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Models Merged
The following models were included in the merge:
* alpindale/WizardLM-2-8x22B
* HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
## Benchmark results
### 1. MT-Bench from lmsys
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object-detection | 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. -->
# detr_v2_15
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v2_15", "results": []}]} | ssamperr/detr_v2_15 | null | [
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr_v2_15
This model is a fine-tuned version of facebook/detr-resnet-50 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 hyperparameters
The ... | [
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null | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v02_lora | null | [
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|
# Uploaded model
- Developed by: akbargherbal
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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text-generation | transformers |
# Model Card for Mistral-chem-v0.5 (mistral for chemistry)
The Mistral-chem-v0.5 Large Language Model (LLM) is a pretrained generative chemical molecule model with 52.11M parameters x 8 experts = 416.9M parameters.
It is derived from Mistral-7B-v0.1 model, which was simplified for chemistry: the number of layers an... | {"license": "apache-2.0", "tags": ["pretrained", "Mistral", "chemistry"]} | RaphaelMourad/mixtral-chem-v0.5 | null | [
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|
# Model Card for Mistral-chem-v0.5 (mistral for chemistry)
The Mistral-chem-v0.5 Large Language Model (LLM) is a pretrained generative chemical molecule model with 52.11M parameters x 8 experts = 416.9M parameters.
It is derived from Mistral-7B-v0.1 model, which was simplified for chemistry: the number of layers an... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/meraGPT/mera-mix-4x7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/mera-mix-4x7B-i1-GG... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "meraGPT/mera-mix-4x7B", "quantized_by": "mradermacher"} | mradermacher/mera-mix-4x7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null | ¿Qué es Crystalin tabletas?
Crystalin Precio es una cápsula de suplemento dietético de primera calidad, meticulosamente elaborada para brindar un apoyo integral a la salud ocular. Su fórmula avanzada contiene una mezcla sinérgica de vitaminas, minerales y antioxidantes elegidos específicamente para nutrir los ojos y p... | {"license": "apache-2.0"} | CrystalinEcuador/Crystalin | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T07:29:40+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es Crystalin tabletas?
Crystalin Precio es una cápsula de suplemento dietético de primera calidad, meticulosamente elaborada para brindar un apoyo integral a la salud ocular. Su fórmula avanzada contiene una mezcla sinérgica de vitaminas, minerales y antioxidantes elegidos específicamente para nutrir los ojos y p... | [] | [
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token-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. -->
# distilbert-base-uncased-G3
This model is a fine-tuned version of [ChakuChidiya/distilbert-base-uncased-G2](https://huggingface.co/Chak... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "ChakuChidiya/distilbert-base-uncased-G2", "model-index": [{"name": "distilbert-base-uncased-G3", "results": []}]} | ChakuChidiya/distilbert-base-uncased-G3 | null | [
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"region:us"
] | null | 2024-04-24T07:31:05+00:00 | [] | [] | TAGS
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| distilbert-base-uncased-G3
==========================
This model is a fine-tuned version of ChakuChidiya/distilbert-base-uncased-G2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.2192
* Validation Loss: 0.3240
* Epoch: 2
Model description
-----------------
More i... | [
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text2text-generation | transformers |
# PLLaVA Model Card
## Model details
**Model type:**
PLLaVA-7B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-7b-hf
**Model date:**
PLL... | {"license": "apache-2.0", "tags": ["video LLM"], "datasets": ["OpenGVLab/VideoChat2-IT"]} | ermu2001/pllava-7b | null | [
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"2404.16994"
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|
# PLLaVA Model Card
## Model details
Model type:
PLLaVA-7B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-7b-hf
Model date:
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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": []} | josianem/adareceipts-donut-model-cordv2 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Anpur-Phani
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Anpur-Phani/gemma_lora_model | null | [
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# Uploaded model
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visual-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. -->
# vilt_finetuned_200
This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vqa"], "base_model": "dandelin/vilt-b32-mlm", "model-index": [{"name": "vilt_finetuned_200", "results": []}]} | yeongha/vilt_finetuned_200 | null | [
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|
# vilt_finetuned_200
This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa 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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null | null | ---
license: apache-2.0
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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. -->
# billm_conll2003_NousResearch-Llama-2-7b-hf_ckpt
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggi... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "billm_conll2003_NousResearch-Llama-2-7b-hf_ckpt", "results": []}]} | Farjfar/billm_conll2003_NousResearch-Llama-2-7b-hf_ckpt | null | [
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|
# billm_conll2003_NousResearch-Llama-2-7b-hf_ckpt
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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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": []} | heyllm234/sc73 | null | [
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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. -->
# ppi_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "ppi_model", "results": []}]} | lamiaaMB/ppi_model | null | [
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| ppi\_model
==========
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4819
* Accuracy: 0.9333
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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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. -->
# Text-to-image finetuning - happynear/sdxl-pokemon-model
This pipeline was finetuned from **stabilityai/stable-diffusion... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers-training", "diffusers", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers-training", "diffusers"], "base_model": "stabilityai/s... | happynear/sdxl-pokemon-model | null | [
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|
# Text-to-image finetuning - happynear/sdxl-pokemon-model
This pipeline was finetuned from stabilityai/stable-diffusion-xl-base-1.0 on the reach-vb/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompt: a cute Sundar Pichai creature:
!img_0
... | [
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text-classification | 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": []} | kangXn/engu-st-mde | null | [
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# Model Card for Model ID
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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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null | transformers |
# DavidAU/Antler-7B-Novel-Writing-Q6_K-GGUF
This model was converted to GGUF format from [`Aratako/Antler-7B-Novel-Writing`](https://huggingface.co/Aratako/Antler-7B-Novel-Writing) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"], "datasets": ["Aratako/Syosetu711K-Cleaned-158K-Instruct"], "base_model": ["Elizezen/Antler-7B"]} | DavidAU/Antler-7B-Novel-Writing-Q6_K-GGUF | null | [
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|
# DavidAU/Antler-7B-Novel-Writing-Q6_K-GGUF
This model was converted to GGUF format from 'Aratako/Antler-7B-Novel-Writing' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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null | transformers |
# Uploaded model
- **Developed by:** srikar-v05
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | srikar-v05/llama3-ChatDoctor | null | [
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|
# Uploaded model
- Developed by: srikar-v05
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-1 | null | [
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"region:us"
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|
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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. -->
# vietnamese-news-summarization-vistral-7b
This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingfac... | {"license": "afl-3.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Viet-Mistral/Vistral-7B-Chat", "model-index": [{"name": "vietnamese-news-summarization-vistral-7b", "results": []}]} | anhvu2501/vietnamese-news-summarization-vistral-7b | null | [
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| vietnamese-news-summarization-vistral-7b
========================================
This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8576
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 4\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: constant\n* lr\\_scheduler\\_warmup\\_steps... | [
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null | transformers |
# Uploaded model
- **Developed by:** aidiary
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | aidiary/llama3-8b-alpaca-finetuned | null | [
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|
# Uploaded model
- Developed by: aidiary
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v02_gguf | null | [
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|
# Uploaded model
- Developed by: akbargherbal
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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. -->
# PolizzeDonut-UltimaProvaCluster-Cluster3di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster3di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster3di7-5epochs | null | [
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"license:mit",
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"region:us"
] | null | 2024-04-24T07:44:19+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-UltimaProvaCluster-Cluster3di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | transformers |
# DavidAU/llama-3-dragonmaid-8B-Q8_0-GGUF
This model was converted to GGUF format from [`nbeerbower/llama-3-dragonmaid-8B`](https://huggingface.co/nbeerbower/llama-3-dragonmaid-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ... | {"license": "other", "library_name": "transformers", "tags": ["nsfw", "not-for-all-audiences", "experimental", "llama-cpp", "gguf-my-repo"], "datasets": ["ResplendentAI/NSFW_RP_Format_NoQuote"], "base_model": ["nbeerbower/llama-3-sauce-v1-8B"], "license_name": "llama3"} | DavidAU/llama-3-dragonmaid-8B-Q8_0-GGUF | null | [
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|
# DavidAU/llama-3-dragonmaid-8B-Q8_0-GGUF
This model was converted to GGUF format from 'nbeerbower/llama-3-dragonmaid-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
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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. -->
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-0 | null | [
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] | null | 2024-04-24T07:44:34+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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": []} | chohi/llama-3-8b-chat-molit-kor | null | [
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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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null | null | Q6_K gguf of https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B | {} | JayhC/ChaoticSoliloquy-4x8B-GGUF-Q6_K | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-3.0 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.5 | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-2.5 | null | [
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"license:apache-2.0",
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-3.0 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-128k-instruct-layer-mix-bpw-4.0 | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
] | [
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text-generation | transformers |
## Introduction
Who am I: Qishen Ha [[Kaggle](https://www.kaggle.com/haqishen)] [[X](https://twitter.com/KeishinKoh)] [[LinkedIn](https://www.linkedin.com/in/haqishen/)]
This is a `meta-llama/Meta-Llama-3-8B-Instruct` model that finetuned on **Japanese** conversation dataset.
Dataset: [japanese_hh-rlhf-49k](https:/... | {"language": ["en", "ja"], "license": "llama3", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "datasets": ["fujiki/japanese_hh-rlhf-49k"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlib... | haqishen/h2o-Llama-3-8B-Japanese-Instruct | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
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"text-gener... | null | 2024-04-24T07:48:45+00:00 | [] | [
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|
## Introduction
Who am I: Qishen Ha [Kaggle] [X] [LinkedIn]
This is a 'meta-llama/Meta-Llama-3-8B-Instruct' model that finetuned on Japanese conversation dataset.
Dataset: japanese_hh-rlhf-49k
Training framework: h2o-llmstudio
Training max context length: 8k
## Usage
To use the model with the 'transformers' li... | [
"## Introduction\n\nWho am I: Qishen Ha [Kaggle] [X] [LinkedIn]\n\nThis is a 'meta-llama/Meta-Llama-3-8B-Instruct' model that finetuned on Japanese conversation dataset.\n\nDataset: japanese_hh-rlhf-49k\n\nTraining framework: h2o-llmstudio\n\nTraining max context length: 8k",
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null | null |
# DavidAU/Diamond-Arconte-13B-Q6_K-GGUF
This model was converted to GGUF format from [`ThenMagician/Diamond-Arconte-13B`](https://huggingface.co/ThenMagician/Diamond-Arconte-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "roleplay", "merge", "nsfw", "llama-cpp", "gguf-my-repo"]} | DavidAU/Diamond-Arconte-13B-Q6_K-GGUF | null | [
"gguf",
"not-for-all-audiences",
"roleplay",
"merge",
"nsfw",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-24T07:48:48+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #roleplay #merge #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Diamond-Arconte-13B-Q6_K-GGUF
This model was converted to GGUF format from 'ThenMagician/Diamond-Arconte-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/Diamond-Arconte-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ThenMagician/Diamond-Arconte-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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"TAGS\n#gguf #not-for-all-audiences #roleplay #merge #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us \n# DavidAU/Diamond-Arconte-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ThenMagician/Diamond-Arconte-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model car... |
text-generation | peft |
References from **https://www.datacamp.com/tutorial/fine-tuning-google-gemma** | {"library_name": "peft", "datasets": ["hieunguyenminh/roleplay"], "pipeline_tag": "text-generation"} | YiKai03/gemma-7b-v2-role-play | null | [
"peft",
"safetensors",
"text-generation",
"dataset:hieunguyenminh/roleplay",
"region:us"
] | null | 2024-04-24T07:49:19+00:00 | [] | [] | TAGS
#peft #safetensors #text-generation #dataset-hieunguyenminh/roleplay #region-us
|
References from URL | [] | [
"TAGS\n#peft #safetensors #text-generation #dataset-hieunguyenminh/roleplay #region-us \n"
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30
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"TAGS\n#peft #safetensors #text-generation #dataset-hieunguyenminh/roleplay #region-us \n"
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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": []} | superiort/kullm3_100QA_10epochs | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T07:49:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #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 | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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