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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": []} | Pav17/t3-gen-only-text | null | [
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"1910.09700"
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#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:
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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": []} | shidowake/240405-chatntq-ja-7b-v1-co0.8-mist-inst-v0.2 | 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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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. -->
# en_vi_envit5-translation_news_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/Vie... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "en_vi_envit5-translation_news_train", "results": []}]} | yuufong/en_vi_envit5-translation_news_train | null | [
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"base_model:VietAI/envit5-translation",
"license:openrail",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# en_vi_envit5-translation_news_train
This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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token-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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-2393_sample-5_epoch
This model is a fine-tuned version of [FacebookAI/xlm-rober... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-2393_sample-5_epoch", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-2393_sample-5_epoch | null | [
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| token-classification-llmlingua2-xlm-roberta-bctn-2393\_sample-5\_epoch
======================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5646
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
Convert and Quantized of [TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/tree/main) using llama.cpp
## Guide to replicate
[Convert and Quantize model to GGUF](https://medium.com/@sarinsuriyakoon/convert-pytorch-model-to-quantize-gguf-to-run-on-oll... | {"license": "mit", "tags": ["ollama"]} | pacozaa/TinyLlama-1.1B-intermediate-step-1431k-3T-GGUF | null | [
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#gguf #ollama #license-mit #region-us
|
Convert and Quantized of TinyLlama-1.1B-intermediate-step-1431k-3T using URL
## Guide to replicate
Convert and Quantize model to GGUF
## Description
This is for my own experiment with Ollama, because Ollama usually put chat fine-tuning in their library. It would be hard to know if my fine-tuning LoRA Adapter works ... | [
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by rm2002 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 15600120003
Sample pictures of this concept:
.jpg)
![1](https://huggingface.co/... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | rm2002/my-pet-dog | null | [
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#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### My-Pet-Dog Dreambooth model trained by rm2002 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 15600120003
Sample pictures of this concept:
!0.jpg)
!1.jpg)
!2.jpg)
!3.jpg)
!4.jpg)
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/01-ai-Yi-6B-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="oerdal/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | oerdal/q-Taxi-v3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | null | 输入为 sample_answer + Student's Answer
```python
prompt = str(tokenizer.bos_token or '') + f"Standard Answer: {sample['sample_answer']}\n Student's Answer: {sample['new_response_no_index']}\n Evaluation:{sample['label'].strip()}""" + str(tokenizer.eos_token)
```
![image/png](https://cdn-uploads.huggingface.co/produ... | {"license": "mit"} | YiandLi/QLORA-0404 | null | [
"safetensors",
"license:mit",
"region:us"
] | null | 2024-04-05T04:47:37+00:00 | [] | [] | TAGS
#safetensors #license-mit #region-us
| 输入为 sample_answer + Student's Answer
!image/png
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/cyberagent-calm2-7b-chat-bnb-8bit-smashed | null | [
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"llama",
"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-05T04:48:05+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# vuln-cat
This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivoca... | {"tags": ["generated_from_trainer", "cybersecurity"], "metrics": ["accuracy"], "base_model": "allenai/scibert_scivocab_uncased", "pipeline_tag": "text-classification", "model-index": [{"name": "my_awesome_model", "results": []}]} | conflick0/vuln-cat | null | [
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"cybersecurity",
"base_model:allenai/scibert_scivocab_uncased",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T04:50:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #cybersecurity #base_model-allenai/scibert_scivocab_uncased #autotrain_compatible #endpoints_compatible #region-us
| vuln-cat
========
This model is a fine-tuned version of allenai/scibert\_scivocab\_uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5132
* Accuracy: 0.9034
Model description
-----------------
vuln-cat is a classification model based on fine-tuning of scibert. It ca... | [
"### 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: 8",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small En - SAA ASR 4000
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisp... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["chaseez/accented-english"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small En - SAA ASR 4000", "results": []}]} | chaseez/whisper-small-en | null | [
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|
# Whisper Small En - SAA ASR 4000
This model is a fine-tuned version of openai/whisper-small on the Speech Accent Archive dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_3_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_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 [o... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "unsloth", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_CyberBrain_2.0", "ezelikman/quietstar-8-ahead"]} | LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_CyberBrain_3_0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_3_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.... | [
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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": []} | shallow6414/ybyo63h | null | [
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null | transformers |
# Uploaded model
- **Developed by:** sayuj01
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral 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", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | sayuj01/unslothtesting_4bit_mistral_imdb_model | null | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# human-emotion-detection
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "jonatasgrosman/wav2vec2-large-xlsr-53-english", "model-index": [{"name": "human-emotion-detection", "results": []}]} | Hemg/human-emotion-detection | null | [
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| human-emotion-detection
=======================
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9555
* Accuracy: 0.6262
Model description
-----------------
More information needed
Inte... | [
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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": []} | unrented5443/3ybrmh6 | 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 | https://civitai.com/models/383543/nakano-nino | {"license": "creativeml-openrail-m"} | LarryAIDraw/Nakano_Nino | 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. -->
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": []} | yuiseki/tinyllama-fa-wikipedia-1.5T-v0.1 | null | [
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null | null | https://civitai.com/models/384136/honkai-star-rail-acheron-or | {"license": "creativeml-openrail-m"} | LarryAIDraw/acheron-str-v1c | null | [
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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. -->
# NLP_Customer_Care_Summary
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/peg... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "NLP_Customer_Care_Summary", "results": []}]} | akashjoy/NLP_Customer_Care_Summary | null | [
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| NLP\_Customer\_Care\_Summary
============================
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4833
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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null | null | # Generative Models by Stability AI
## News
**March 18, 2024**
- We are releasing **[SV3D](https://huggingface.co/stabilityai/sv3d)**, an image-to-video model for novel multi-view synthesis, for research purposes:
- **SV3D** was trained to generate 21 frames at resolution 576x576, give... | {} | raovasudev762/SpecialSDXL | null | [
"arxiv:2307.01952",
"arxiv:2206.00364",
"region:us"
] | null | 2024-04-05T05:00:25+00:00 | [
"2307.01952",
"2206.00364"
] | [] | TAGS
#arxiv-2307.01952 #arxiv-2206.00364 #region-us
| # Generative Models by Stability AI
!sample1
## News
March 18, 2024
- We are releasing SV3D, an image-to-video model for novel multi-view synthesis, for research purposes:
- SV3D was trained to generate 21 frames at resolution 576x576, given 1 context frame of the same size, ideally a white-background image with... | [
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text-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. -->
# 0.001_idpo_same_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingF... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_same_iter_1", "results": []}]} | ShenaoZhang/0.001_idpo_same_iter_1 | null | [
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|
# 0.001_idpo_same_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized 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 | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Heoni/Aguie_v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week ... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "base_model": "Heoni/Aguie_v0.1", "quantized_by": "mradermacher"} | mradermacher/Aguie_v0.1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s19 | 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-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](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": []} | shidowake/240405-chatntq-ja-7b-v1-co0.8-mist-inst-v0.2-edit-config | 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]:
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- License... | [
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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. -->
# roots_classify_tt
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "roots_classify_tt", "results": []}]} | kurianu/roots_classify_tt | null | [
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| roots\_classify\_tt
===================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/RUCKBReasoning/TableLLM-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"], "base_model": "RUCKBReasoning/TableLLM-7b", "quantized_by": "mradermacher"} | mradermacher/TableLLM-7b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | # 🏗️ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Project Page: [https://tiger-ai-lab.github.io/StructLM/](https://tiger-ai-lab.github.io/StructLM/)
Paper: [https://arxiv.org/pdf/2402.16671.pdf](https://arxiv.org/pdf/2402.16671.pdf)
Code: [https://github.com/TIGER-AI-Lab/StructL... | {"language": ["en"], "license": "mit", "datasets": ["TIGER-Lab/SKGInstruct"]} | TIGER-Lab/StructLM-7B-Mistral | null | [
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| # ️ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Project Page: URL
Paper: URL
Code: URL
!Alt text
## Introduction
StructLM, is a series of open-source large language models (LLMs) finetuned for structured knowledge grounding (SKG) tasks.
This model is trained using Mistral ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/flammen15-gutenberg-DPO-v1-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/gutenberg-dpo-v0.1"], "base_model": "nbeerbower/flammen15-gutenberg-DPO-v1-7B", "quantized_by": "mradermacher"} | mradermacher/flammen15-gutenberg-DPO-v1-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_pretrain
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert_pretrain", "results": []}]} | baveshchowdary/bert_pretrain | null | [
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"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #text-generation #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert\_pretrain
==============
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.4613
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
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text-generation | transformers | <span style="color:orange">I made this particular quant to run on my [Aphrodite Engine](https://github.com/PygmalionAI/aphrodite-engine) box. It spits out some real fire in milliseconds. It isn't as "smart" as larger models, but it is more creative than most small models if you can tolerate a few quirks.</span>
| Mod... | {"license": "cc-by-nc-4.0"} | zaq-hack/Kunoichi-DPO-v2-7B-bpw533-h6-exl2-rpcal | null | [
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| I made this particular quant to run on my Aphrodite Engine box. It spits out some real fire in milliseconds. It isn't as "smart" as larger models, but it is more creative than most small models if you can tolerate a few quirks.
Model: GPT-4, AlpacaEval2: 23.58%, Length: 1365
Model: GPT-4 0314, AlpacaEval2: 22.07%, ... | [] | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_whisper_test_model
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["SubsWay/my_whisper_test"], "base_model": "openai/whisper-base", "model-index": [{"name": "my_whisper_test_model", "results": []}]} | SubsWay/my_whisper_test_check | null | [
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|
# my_whisper_test_model
This model is a fine-tuned version of openai/whisper-base on the my_whisper_test_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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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": []} | SubsWay/my_whisper_test | null | [
"transformers",
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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:
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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. -->
# dutch_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) o... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "dutch_checkpoint", "results": []}]} | mikhail-panzo/filo_checkpoint | null | [
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| dutch\_checkpoint
=================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7314
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | null | CogAgent finetuned on its iOS trajectories.
To use the weights, please first merge the parts by
cat part_* > mp_rank_00_model_states.pt | {"license": "bsd"} | Agent-Eval-Refine/CogAgent-iOS-SelfTrain | null | [
"license:bsd",
"region:us"
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#license-bsd #region-us
| CogAgent finetuned on its iOS trajectories.
To use the weights, please first merge the parts by
cat part_* > mp_rank_00_model_states.pt | [] | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/deepseek-ai-deepseek-math-7b-instruct-bnb-8bit-smashed | null | [
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"region:us"
] | null | 2024-04-05T05:20:21+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - Exc3ss/akshay_model_final
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weigh... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of Akshay Kumar"} | Exc3ss/akshay_model_final | null | [
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|
# DreamBooth - Exc3ss/akshay_model_final
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of Akshay Kumar using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limit... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="IyanuMicheal/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | IyanuMicheal/q-Taxi-v3 | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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text-to-audio | 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": []} | procit001/dutch_female_v3_sample6 | null | [
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#transformers #safetensors #vits #text-to-audio #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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- Shared by [optional]:
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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. -->
# model
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "model", "results": []}]} | reevan/model | null | [
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| model
=====
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6917
* Precision: 0.7168
* Recall: 0.7053
* F1: 0.7088
* Accuracy: 0.726
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers |
[gguf quants](https://huggingface.co/mradermacher/dragonwar-7b-alpha-GGUF)
# Dragonwar 7b - α
The time of the great dragon war is upon us! How many different fantasy novels? One hundred and sev... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book"]} | maldv/dragonwar-7b-alpha | null | [
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|
!image/png
gguf quants
# Dragonwar 7b - α
The time of the great dragon war is upon us! How many different fantasy novels? One hundred and seventeen you say?
Trained with full text windows, followed by completion, followed by ORPO, followed by one more epoch of the full text, rotated 1/4 in the window. That la... | [
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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": []} | ntvcie/gemma_Vinh_test_03 | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vi_en_envit5-translation_conv_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/Vie... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "vi_en_envit5-translation_conv_train", "results": []}]} | yuufong/vi_en_envit5-translation_conv_train | null | [
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This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | peft | ## Training procedure
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text-generation | transformers | GPTQ Quantized model of KULLM3 Korea University NLP AI Lab.
I did the conversion to GPTQ, the whole model was built by NLP AI Lab, therefore, all my credits to them.
The model seems to work really well in GPTQ and it seems a new step towards a fully usable korean LLM.
It was converted using 500 samples of korean wik... | {} | javiagu/KULLM3_GPTQ | null | [
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| GPTQ Quantized model of KULLM3 Korea University NLP AI Lab.
I did the conversion to GPTQ, the whole model was built by NLP AI Lab, therefore, all my credits to them.
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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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": []} | thusinh1969/LLaMA-2-Instruct-Chat-100k-08MMAR2024-tokenizer | null | [
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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. -->
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text-generation | transformers | <!-- header start -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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 generate... | {"library_name": "transformers", "tags": []} | qamyr/test_010_phi2_2_7b_100steps__finetuned_lora_model | null | [
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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. -->
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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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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. -->
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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. -->
# planetn-model
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "planetn-model", "results": []}]} | rainerberger/planetn-model | null | [
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|
# planetn-model
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More information needed
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More information needed
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text-classification | transformers | # tam_test_merge_out_drug_data_linear
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were in... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_1_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_linear | null | [
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This is a merge of pre-trained language models created using mergekit.
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### Merge Method
This model was merged using the linear merge method.
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "Salesforce/blip2-opt-2.7b"} | sezenkarakus/image-BLIP2-event-model-v1 | null | [
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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. -->
# controlnet-hoa-quickloop/tryon_controlnet_1.1
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "inference": true, "base_model": "stabilityai/stable-diffusion-2-1-base"} | hoa-quickloop/tryon_controlnet_1.1 | null | [
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text-classification | transformers |
# **ReasonEval-34B Model Card**
## Model Description
`ReasonEval-34B` is a 34B parameter decoder-only language model fine-tuned from [`llemma_34b`](https://huggingface.co/EleutherAI/llemma_34b). Given a mathematical problem and the solution, `ReasonEval-34B` assesses the problem-solving process in a step-by-step fo... | {"language": ["en"], "license": "llama2", "pipeline_tag": "text-classification"} | GAIR/ReasonEval-34B | 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. -->
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": []} | 0x0dad0/test01 | null | [
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null | transformers | ## About
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<!-- provided-files -->
## Usage
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-----
static quants of URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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Provided Quants
---------------
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar siz... | [] | [
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text-classification | transformers | # tam_test_merge_out_drug_data_ties
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0_drug_data](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data", "mllm-dev/gpt2_f_experiment_1_drug_data", "mllm-dev/gpt2_f_experiment_4_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_ties | null | [
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"base_model:mllm-dev/gpt2_f_experi... | null | 2024-04-05T06:19:59+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
### Models Merged
The following models were included in the merge:
*... | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | data-aces/Llama2-7B-test | null | [
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"1910.09700"
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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:
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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. -->
# test-case-bart
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "test-case-bart", "results": []}]} | vignesh-spericorn/test-case-bart | null | [
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| test-case-bart
==============
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3864
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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video-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. -->
# videomae-base-finetuned-ElderReact-Happiness
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.c... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Happiness", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Happiness | null | [
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] | null | 2024-04-05T06:21:31+00:00 | [] | [] | TAGS
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| videomae-base-finetuned-ElderReact-Happiness
============================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7341
* F1: 0.4868
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_ties
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data", "mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_1_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_dare_ties | null | [
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"base_model:mllm-dev/gpt2_f_experiment_4_drug_data",
"base_model:... | null | 2024-04-05T06:24:07+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
### Models Merged
The following models were included in th... | [
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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. -->
# vi_en_envit5-translation_doc_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/Viet... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "vi_en_envit5-translation_doc_train", "results": []}]} | yuufong/vi_en_envit5-translation_doc_train | null | [
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"safetensors",
"t5",
"text2text-generation",
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"base_model:VietAI/envit5-translation",
"license:openrail",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T06:25:56+00:00 | [] | [] | TAGS
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|
# vi_en_envit5-translation_doc_train
This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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video-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. -->
# videomae-base-finetuned-ElderReact-Sadness
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Sadness", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Sadness | null | [
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| videomae-base-finetuned-ElderReact-Sadness
==========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5603
* F1: 0.0
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/bophades-v2-mistral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/bophades-v2-mistral-7B", "quantized_by": "mradermacher"} | mradermacher/bophades-v2-mistral-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | null |
## Llamacpp Quantizations of TableLLM-13b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/RUCKBReasoning/TableLLM-13b
Download a file (not the whole br... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/TableLLM-13b-GGUF | null | [
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#gguf #Table #QA #Code #text-generation #en #dataset-RUCKBReasoning/TableLLM-SFT #license-llama2 #region-us
| Llamacpp Quantizations of TableLLM-13b
--------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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video-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. -->
# videomae-base-finetuned-ElderReact-Surprise
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Surprise", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Surprise | null | [
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"region:us"
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| videomae-base-finetuned-ElderReact-Surprise
===========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6351
* F1: 0.3846
Model description
-----------------
More information nee... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Daoguang-PyCodeGPT-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
# gemma-7b non IT 버전 채팅 파인 튜닝된 버전
간단한 채팅 형태의 데이터로 파인 튜닝된 버전입니다.
## history
- 0.1 : 2024-04-05 최초 SFT버전 업로드, DPO는 고민 중
## 트레이닝 정보
- 사용데이터셋 : maywell/koVast 을 philschmid/gemma-tokenizer-chatml 에 맞게 변조하여 사용
- GPU : RTX 3090 24G x 1
- optimizer : adamw_torch
- lr scheduler type : cosine
- 트레이닝 시간 : 140시간
- 에포크 : 1
- tr... | {"language": ["ko"], "license": "apache-2.0"} | nmj21c/gemma-7b-andj-sft | null | [
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"region:us"
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"ko"
] | TAGS
#transformers #safetensors #gemma #text-generation #ko #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# gemma-7b non IT 버전 채팅 파인 튜닝된 버전
간단한 채팅 형태의 데이터로 파인 튜닝된 버전입니다.
## history
- 0.1 : 2024-04-05 최초 SFT버전 업로드, DPO는 고민 중
## 트레이닝 정보
- 사용데이터셋 : maywell/koVast 을 philschmid/gemma-tokenizer-chatml 에 맞게 변조하여 사용
- GPU : RTX 3090 24G x 1
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image-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": []} | Bala-123-murugan-123/garbagee-classification | null | [
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"1910.09700"
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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-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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. -->
# mamba_se_text_classification_v1
This model was trained from scratch on the None dataset.
It achieves the following results on th... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_se_text_classification_v1", "results": []}]} | ZeZanZiet/mamba_se_text_classification_v1 | null | [
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| mamba\_se\_text\_classification\_v1
===================================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6253
* Accuracy: 0.8317
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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text-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. -->
# 0.0_dataup_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0_dataup_iter_1](https://huggingface.co/ShenaoZ/0.0_dataup_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZ/0.0_dataup_dataset"], "base_model": "ShenaoZ/0.0_dataup_iter_1", "model-index": [{"name": "0.0_dataup_iter_2", "results": []}]} | ShenaoZ/0.0_dataup_iter_2 | null | [
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"text-... | null | 2024-04-05T06:33:50+00:00 | [] | [] | TAGS
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|
# 0.0_dataup_iter_2
This model is a fine-tuned version of ShenaoZ/0.0_dataup_iter_1 on the ShenaoZ/0.0_dataup_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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"... | [
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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": []} | 0x0uncle0/uncle35 | 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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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. -->
# KishorMLE123/my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "KishorMLE123/my_awesome_qa_model", "results": []}]} | KishorMLE123/my_awesome_qa_model | null | [
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#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| KishorMLE123/my\_awesome\_qa\_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:
* Train Loss: 1.7858
* Validation Loss: 2.1081
* Epoch: 4
Model description
-------------... | [
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null | null | Check G-reen/EXPERIMENT-SFT-m7b2-2-merged (https://huggingface.co/G-reen/EXPERIMENT-SFT-m7b2-2-merged) for details. | {} | G-reen/EXPERIMENT-SFT-m7b2-2-lora | null | [
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#safetensors #region-us
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/RUCKBReasoning/TableLLM-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"], "base_model": "RUCKBReasoning/TableLLM-13b", "quantized_by": "mradermacher"} | mradermacher/TableLLM-13b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
**Benchmarks**
Average 59.59
ARC 59.3
HellaSwag 82.47
MMLU 62.42
TruthfulQA 40.25
Winogrande 78.53
GSM8K 34.57
**Training Details**
Duration: ~6-8 hours on... | {"license": "apache-2.0"} | G-reen/EXPERIMENT-SFT-m7b2-2-merged | null | [
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"4-bit",
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#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Benchmarks
Average 59.59
ARC 59.3
HellaSwag 82.47
MMLU 62.42
TruthfulQA 40.25
Winogrande 78.53
GSM8K 34.57
Training Details
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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. -->
# FYP_sq2_mrqa_adqa_quac
This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa](https://huggingface.co/kxx-kkk/FYP_sq2_... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "kxx-kkk/FYP_sq2_mrqa_adqa", "model-index": [{"name": "FYP_sq2_mrqa_adqa_quac", "results": []}]} | kxx-kkk/FYP_sq2_mrqa_adqa_quac | null | [
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"deberta-v2",
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"base_model:kxx-kkk/FYP_sq2_mrqa_adqa",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T06:41:25+00:00 | [] | [] | TAGS
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| FYP\_sq2\_mrqa\_adqa\_quac
==========================
This model is a fine-tuned version of kxx-kkk/FYP\_sq2\_mrqa\_adqa on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2206
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-generation | transformers |
# mistral-NeuralHermes-7B-slerp
mistral-llama-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/Neur... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | manojkumal/mistral-NeuralHermes-7B-slerp | null | [
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"endpoints_compatible",
"text-generation-inference... | null | 2024-04-05T06:42:40+00:00 | [] | [] | TAGS
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|
# mistral-NeuralHermes-7B-slerp
mistral-llama-7B-slerp is a merge of the following models using mergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
| [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/scb10x-typhoon-7b-bnb-4bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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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", "precision", "recall", "f1"], "widget": [{"text": "Some women are more alive than others. "}, {"text": ": Session"}, {"text": ". Manage your cookie preferences:"}, {"te... | spaly99/my-setfit-model-dataset-PG-OCR-2 | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | SungJinD/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T06:51:38+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-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. -->
# github_cybersecurity_READMEs
This model is a fine-tuned version of [geralt/MechDistilGPT2](https://huggingface.co/geralt/MechDis... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "geralt/MechDistilGPT2", "model-index": [{"name": "github_cybersecurity_READMEs", "results": []}]} | wen1126/github_cybersecurity_READMEs | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T06:56:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-geralt/MechDistilGPT2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| github\_cybersecurity\_READMEs
==============================
This model is a fine-tuned version of geralt/MechDistilGPT2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 9.7201
* Accuracy: 0.0193
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-geralt/MechDistilGPT2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* ... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Ponce-01/DFEP-05 | null | [
"transformers",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T06:56:48+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
| [
"# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.",
"# Usage"
] | [
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] |
null | null |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["cs"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-cs-pythia-6.9b-deduped | null | [
"generation",
"question answering",
"instruction tuning",
"cs",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-05T06:58:00+00:00 | [
"2309.08958"
] | [
"cs"
] | TAGS
#generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: pythia-6.9b-deduped
* Instruction tunin... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: pythia-6.9b-deduped\n* Ins... | [
"TAGS\n#generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #region-us \n",
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"TAGS\n#generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is... |
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. -->
# bartpho-syllable-base-backtranslation
This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-syllable-base", "model-index": [{"name": "bartpho-syllable-base-backtranslation", "results": []}]} | long292/bartpho-syllable-base-backtranslation | null | [
"transformers",
"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:vinai/bartpho-syllable-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T06:59:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us
| bartpho-syllable-base-backtranslation
=====================================
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0486
* Bleu: 23.2381
* Gen Len: 17.1607
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... | [
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null | null | # CT-LLM-SFT-experiment-ckpts
[**🌐 Homepage**](https://chinese-tiny-llm.github.io) | [**🤗 MAP-CC**](https://huggingface.co/datasets/m-a-p/MAP-CC) | [**🤗 CHC-Bench**](https://huggingface.co/datasets/m-a-p/CHC-Bench) | [**🤗 CT-LLM**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6)... | {} | m-a-p/CT-LLM-SFT-experiment-ckpts | null | [
"safetensors",
"arxiv:2404.04167",
"region:us"
] | null | 2024-04-05T06:59:23+00:00 | [
"2404.04167"
] | [] | TAGS
#safetensors #arxiv-2404.04167 #region-us
| # CT-LLM-SFT-experiment-ckpts
Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub
This warehouse contains all SFT experiment ckpts, which are fine-tuned by different Chinese and English data ratios, as follows:
- zh_105k_en_105k(1:1)
- zh_105k_en_52k(2:1)
- zh_105k_en_26k(4:1)
- zh_105k_en_13k(8:1)
- zh_105k... | [
"# CT-LLM-SFT-experiment-ckpts\n\n Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub\n\nThis warehouse contains all SFT experiment ckpts, which are fine-tuned by different Chinese and English data ratios, as follows:\n- zh_105k_en_105k(1:1)\n- zh_105k_en_52k(2:1)\n- zh_105k_en_26k(4:1)\n- zh_105k_en_13k(8... | [
"TAGS\n#safetensors #arxiv-2404.04167 #region-us \n",
"# CT-LLM-SFT-experiment-ckpts\n\n Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub\n\nThis warehouse contains all SFT experiment ckpts, which are fine-tuned by different Chinese and English data ratios, as follows:\n- zh_105k_en_105k(1:1)\n- zh_105... | [
20,
146,
15,
161,
55
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"TAGS\n#safetensors #arxiv-2404.04167 #region-us \n# CT-LLM-SFT-experiment-ckpts\n\n Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub\n\nThis warehouse contains all SFT experiment ckpts, which are fine-tuned by different Chinese and English data ratios, as follows:\n- zh_105k_en_105k(1:1)\n- zh_105k_en_5... |
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": []} | tanumoyghosh10/opt-6.7b-lora-v0 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T07:00:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"# Model Card for Model ID",
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automatic-speech-recognition | transformers | ---
language:
- hi
license: apache-2.0
tags:
- whisper-event
metrics:
- wer
model-index:
- name: LLM-HINDI-LARGE - Manan Raval
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
config: hn_in
... | {"language": ["en", "hi"], "license": "creativeml-openrail-m", "pipeline_tag": "automatic-speech-recognition"} | web30india/LLM-Hindi-Large | null | [
"transformers",
"pytorch",
"jax",
"whisper",
"automatic-speech-recognition",
"en",
"hi",
"license:creativeml-openrail-m",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T07:00:52+00:00 | [] | [
"en",
"hi"
] | TAGS
#transformers #pytorch #jax #whisper #automatic-speech-recognition #en #hi #license-creativeml-openrail-m #endpoints_compatible #region-us
| ---
language:
- hi
license: apache-2.0
tags:
- whisper-event
metrics:
- wer
model-index:
- name: LLM-HINDI-LARGE - Manan Raval
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
config: hn_in
... | [
"## Usage\n\n In order to infer a single audio file using this model, the following code snippet can be used:",
"## Acknowledgement\nThis work was done at [Virtual Height IT Services Pvt. Ltd.]"
] | [
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"## Usage\n\n In order to infer a single audio file using this model, the following code snippet can be used:",
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"TAGS\n#transformers #pytorch #jax #whisper #automatic-speech-recognition #en #hi #license-creativeml-openrail-m #endpoints_compatible #region-us \n## Usage\n\n In order to infer a single audio file using this model, the following code snippet can be used:## Acknowledgement\nThis work was done at [Virtual Height I... |
null | null | GGUF Quantized model of KULLM3 Korea University NLP AI Lab.
I did the conversion to GGUF, the whole model was built by NLP AI Lab, therefore, all my credits to them.
The model seems to work really well in GGUF and it seems a new step towards a fully usable korean LLM.
Amazing work!
The original repo:
https://huggi... | {"language": ["ko"]} | javiagu/KULLM3-GGUF | null | [
"gguf",
"ko",
"region:us"
] | null | 2024-04-05T07:04:32+00:00 | [] | [
"ko"
] | TAGS
#gguf #ko #region-us
| GGUF Quantized model of KULLM3 Korea University NLP AI Lab.
I did the conversion to GGUF, the whole model was built by NLP AI Lab, therefore, all my credits to them.
The model seems to work really well in GGUF and it seems a new step towards a fully usable korean LLM.
Amazing work!
The original repo:
URL | [] | [
"TAGS\n#gguf #ko #region-us \n"
] | [
11
] | [
"TAGS\n#gguf #ko #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "TURKCELL/Turkcell-LLM-7b-v1", "quantized_by": "mradermacher"} | mradermacher/Turkcell-LLM-7b-v1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:TURKCELL/Turkcell-LLM-7b-v1",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-05T07:04:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-TURKCELL/Turkcell-LLM-7b-v1 #license-apache-2.0 #endpoints_compatible #has_space #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-TURKCELL/Turkcell-LLM-7b-v1 #license-apache-2.0 #endpoints_compatible #has_space #region-us \n"
] | [
51
] | [
"TAGS\n#transformers #gguf #en #base_model-TURKCELL/Turkcell-LLM-7b-v1 #license-apache-2.0 #endpoints_compatible #has_space #region-us \n"
] |
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