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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. -->
# gen-z-translate-llama-3-instruct-v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingf... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "gen-z-translate-llama-3-instruct-v1", "results": []}]} | clp/gen-z-translate-llama-3-instruct-v1 | null | [
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"sft",
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"license:other",
"region:us"
] | null | 2024-05-02T11:51:51+00:00 | [] | [] | TAGS
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|
# gen-z-translate-llama-3-instruct-v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/distilroberta-frozen-newtriplets-v2-lr-2e-7-m-1-e-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usag... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/distilroberta-frozen-newtriplets-v2-lr-2e-7-m-1-e-3 | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:51:52+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/distilroberta-frozen-newtriplets-v2-lr-2e-7-m-1-e-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy wh... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
deep level trained on Jack O'Neill request response
## 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 H... | {"library_name": "transformers", "tags": []} | nachtwindecho/mistralai-Code-Instruct-Finetune-SG1-V3 | null | [
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"text-generation",
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"arxiv:1910.09700",
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"endpoints_compatible",
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"region:us"
] | null | 2024-05-02T11:55:31+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
deep level trained on Jack O'Neill request response
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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null | 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. -->
# Siren1200-Chatbot-Phi2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unk... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Siren1200-Chatbot-Phi2", "results": []}]} | RayBoustany/Siren1200-Chatbot-Phi2 | null | [
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"safetensors",
"trl",
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"generated_from_trainer",
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|
# Siren1200-Chatbot-Phi2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | emiliomartin84/TestModel | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-02T11:57:17+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
automatic-speech-recognition | 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": []} | shtapm/whisper-large_0502_decoder1_200steps | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:57:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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]:
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_synDB_van
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_van", "results": []}]} | Donut01/donut_synDB_van | null | [
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"safetensors",
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"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
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| donut\_synDB\_van
=================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1275
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Starling-LM-7B-alpha - bnb 4bits
- Model creator: https://huggingface.co/berkeley-nest/
- Original model: https://huggingfac... | {} | RichardErkhov/berkeley-nest_-_Starling-LM-7B-alpha-4bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-2306.02231 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Starling-LM-7B-alpha - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
datasets:
* berkeley-nest/Nectar
language:
* en
library\_name: transformers
tags... | [] | [
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text-generation | transformers | # output_folder merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [BioMistral/BioMistral-7B](htt... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["BioMistral/BioMistral-7B", "akjindal53244/Arithmo-Mistral-7B"]} | tanyakansal/arithBio-7B-slerp1 | null | [
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"autotrain_compatible",
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| # output_folder merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* BioMistral/BioMistral-7B
* akjindal53244/Arithmo-Mistral-7B
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Phi-3-mini-128k-instruct - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/... | {} | RichardErkhov/microsoft_-_Phi-3-mini-128k-instruct-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-02T12:00:57+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Phi-3-mini-128k-instruct - GGUF
* Model creator: URL
* Original model: URL
Name: Phi-3-mini-128k-instruct.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.32GB
Name: Phi-3-mini-128k-instruct.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.51GB
Nam... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | miansumairjaved/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
] | null | 2024-05-02T12:02:06+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | null |
## Exllama v2 Quantizations of Awanllm-Llama-3-8B-Instruct-ORPO-v0.1
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b... | {"license": "llama3", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Awanllm-Llama-3-8B-Instruct-ORPO-v0.1-exl2 | null | [
"text-generation",
"license:llama3",
"region:us"
] | null | 2024-05-02T12:02:16+00:00 | [] | [] | TAGS
#text-generation #license-llama3 #region-us
| Exllama v2 Quantizations of Awanllm-Llama-3-8B-Instruct-ORPO-v0.1
-----------------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.20 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains ... | [] | [
"TAGS\n#text-generation #license-llama3 #region-us \n"
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [all-nli](https://huggingface.co/datasets/sentence-transformers/all-nli), [sentence... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MultipleNegativesRankingLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pears... | tomaarsen/distilroberta-base-paraphrases-multi | null | [
"sentence-transformers",
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"roberta",
"sentence-similarity",
"feature-extraction",
"loss:MultipleNegativesRankingLoss",
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"base_model:distilbert/distilroberta-base",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"region:... | null | 2024-05-02T12:02:28+00:00 | [
"1908.10084",
"1705.00652"
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"en"
] | TAGS
#sentence-transformers #safetensors #roberta #sentence-similarity #feature-extraction #loss-MultipleNegativesRankingLoss #en #arxiv-1908.10084 #arxiv-1705.00652 #base_model-distilbert/distilroberta-base #model-index #co2_eq_emissions #endpoints_compatible #region-us
| SentenceTransformer based on distilbert/distilroberta-base
==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the all-nli, sentence-compression, simple-wiki, altlex, quora-duplicates, coco-captions, flickr30k-captions, yahoo... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: distilbert/distilroberta-base\n* Maximum Sequence Length: 128 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Datasets:\n\t+ all-nli\n\t+ sentence-compression\n\t+ simple-wiki\n\t+ altlex\... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
"This model has only been trained and does not reply in a clear or clean way. A formatting script is stored privately, allowing the model to act as an accurate chatbot specialized in the public sector."
### Model... | {"library_name": "transformers", "tags": []} | RayBoustany/Siren1200-Chatbot-Phi2-Merged | null | [
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"phi",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T12:03:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
"This model has only been trained and does not reply in a clear or clean way. A formatting script is stored privately, allowing the model to act as an accurate chatbot specialized in the public sector."
### Model Description
This is the model card of a transformers m... | [
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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": []} | morioxd/happymaker3_8b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T12:04:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mesolitica/malaysian-llama-3-8b-262k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If t... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "mesolitica/malaysian-llama-3-8b-262k", "quantized_by": "mradermacher"} | mradermacher/malaysian-llama-3-8b-262k-GGUF | null | [
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"base_model:mesolitica/malaysian-llama-3-8b-262k",
"endpoints_compatible",
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] | null | 2024-05-02T12:09:12+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-mesolitica/malaysian-llama-3-8b-262k #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-mesolitica/malaysian-llama-3-8b-262k #endpoints_compatible #region-us \n"
] | [
40
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"TAGS\n#transformers #gguf #en #base_model-mesolitica/malaysian-llama-3-8b-262k #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermac... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "NousResearch/Meta-Llama-3-8B-Instruct", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the terms ... | mradermacher/Meta-Llama-3-8B-Instruct-i1-GGUF | null | [
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"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T12:10:47+00:00 | [] | [
"en"
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#transformers #gguf #facebook #meta #pytorch #llama #llama-3 #en #base_model-NousResearch/Meta-Llama-3-8B-Instruct #license-other #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #facebook #meta #pytorch #llama #llama-3 #en #base_model-NousResearch/Meta-Llama-3-8B-Instruct #license-other #endpoints_compatible #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Starling-LM-7B-alpha - bnb 8bits
- Model creator: https://huggingface.co/berkeley-nest/
- Original model: https://huggingfac... | {} | RichardErkhov/berkeley-nest_-_Starling-LM-7B-alpha-8bits | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:2306.02231",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-02T12:11:08+00:00 | [
"2306.02231"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-2306.02231 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Starling-LM-7B-alpha - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
datasets:
* berkeley-nest/Nectar
language:
* en
library\_name: transformers
tags... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-2306.02231 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-7b-it - bnb 8bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/gemm... | {} | RichardErkhov/google_-_gemma-7b-it-8bits | null | [
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"text-generation",
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"arxiv:2009.03300",
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"arxiv:1907.10641",
"arxiv:1811.00937",
"arxiv:1809.02789",
"arxiv:1911.01547",
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Github
Discord
Request more models
gemma-7b-it - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
widget:
* messages:
+ role: user
content: How does the brain work?
in... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter
This model is a fine-tuned version of [google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter", "results": [{"task": {"type... | Kushagra07/vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
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"dataset:imagefolder",
"base_model:google/vit-base-patch16-224",
"license:apache-2.0",
"model-index",
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter
==========================================================================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3278
... | [
"### 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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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. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | mondol007/distilbert-base-uncased-finetuned-squad | null | [
"transformers",
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"distilbert",
"question-answering",
"generated_from_trainer",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T12:16:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-squad
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7599
Model description
-----------------
More information needed
Intended uses... | [
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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_model_team1-ar-en
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-me... | {"language": ["en"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["google/fleurs"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper_model_team1-ar-en", "results": [{"task": {"type": "automatic-speech-recognition", "name": "A... | nesrine19/whisper_model_team1-ar-en | null | [
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| whisper\_model\_team1-ar-en
===========================
This model is a fine-tuned version of openai/whisper-medium on the fleurs data dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4172
* Wer: 12.3005
Model description
-----------------
More information needed
Intended uses & lim... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Cartpolev1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | AGI-CEO/Reinforce-Cartpolev1 | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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": "HuggingFaceH4/zephyr-7b-beta"} | Bodhi108/zephyr_7B_beta_FDE_NA0219_2400 | null | [
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|
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### Model Sources [optional]
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NousResearch/Meta-Llama-3-8B
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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null | transformers |
# Uploaded model
- **Developed by:** grabbysingh
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | grabbysingh/phi_3_mini_4k_personality | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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automatic-speech-recognition | 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": []} | shtapm/whisper-large_0502_decoder2_200steps | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# final_model_5
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": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "final_model_5", "results": []}]} | hussamsal/final_model_5 | null | [
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| final\_model\_5
===============
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8725
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | presencesw/xlm-roberta-large-snli-cosine | null | [
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null | 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": []} | vaatsav06/Llama3_pubmedqa_finetune | null | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
illuni-llama-2-ko-7b-test - GGUF
- Model creator: https://huggingface.co/julleong/
- Original model: https://huggingface.co/... | {} | RichardErkhov/julleong_-_illuni-llama-2-ko-7b-test-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
illuni-llama-2-ko-7b-test - GGUF
* Model creator: URL
* Original model: URL
Name: illuni-llama-2-ko-7b-test.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.42GB
Name: illuni-llama-2-ko-7b-test.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.67GB
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | pietroorlandi/ppo-pyramid | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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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. -->
# ceb_b32_le3_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "ceb_b32_le3_s4000", "results": []}]} | mikhail-panzo/ceb_b32_le3_s4000 | null | [
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"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T12:22:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| ceb\_b32\_le3\_s4000
====================
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: 1.4322
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | T3Q-LLM/T3Q-LLM1-v1.0 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Gryphe/Tiamat-8b-1.2-Llama-3-DPO
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Tiamat-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Gryphe/Tiamat-8b-1.2-Llama-3-DPO", "quantized_by": "mradermacher"} | mradermacher/Tiamat-8b-1.2-Llama-3-DPO-i1-GGUF | null | [
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"base_model:Gryphe/Tiamat-8b-1.2-Llama-3-DPO",
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"en"
] | TAGS
#transformers #gguf #en #base_model-Gryphe/Tiamat-8b-1.2-Llama-3-DPO #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** grabbysingh
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | grabbysingh/phi_3_mini_4k_personality_16bit | null | [
"transformers",
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"text-generation",
"text-generation-inference",
"unsloth",
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"license:apache-2.0",
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] | null | 2024-05-02T12:25:12+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: grabbysingh
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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feature-extraction | transformers | # fine-tuned/car-search-100-64-8-jinaai_jina-embeddings-v2-base-en-300-gpt-3.5-turb_8647177611
## Model Description
fine-tuned/car-search-100-64-8-jinaai_jina-embeddings-v2-base-en-300-gpt-3.5-turb_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
Thi... | {} | fine-tuned/car-search-100-64-8-jinaai_jina-embeddings-v2-base-en-300-gpt-3.5-turb_8647177611 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"region:us"
] | null | 2024-05-02T12:26:46+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #custom_code #region-us
| # fine-tuned/car-search-100-64-8-jinaai_jina-embeddings-v2-base-en-300-gpt-3.5-turb_8647177611
## Model Description
fine-tuned/car-search-100-64-8-jinaai_jina-embeddings-v2-base-en-300-gpt-3.5-turb_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
Thi... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Starling-LM-7B-alpha - GGUF
- Model creator: https://huggingface.co/berkeley-nest/
- Original model: https://huggingface.co/... | {} | RichardErkhov/berkeley-nest_-_Starling-LM-7B-alpha-gguf | null | [
"gguf",
"arxiv:2306.02231",
"region:us"
] | null | 2024-05-02T12:27:00+00:00 | [
"2306.02231"
] | [] | TAGS
#gguf #arxiv-2306.02231 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Starling-LM-7B-alpha - GGUF
* Model creator: URL
* Original model: URL
Name: Starling-LM-7B-alpha.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Starling-LM-7B-alpha.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: Starling-... | [] | [
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null | null |
### Coming Soon!!!!!!
### 使用数据集alpaca-data-gpt4-chinese、sft_zh、ruozhiba对Qwen1.5-7B-Chat微调，测试结果显示CEVAL和MMLU分数均有上升
### 模型：
- https://huggingface.co/Qwen/Qwen1.5-7B-Chat
### 数据集：
- https://huggingface.co/datasets/TigerResearch/sft_zh
- https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese
- https://huggin... | {"language": ["zh", "en"], "license": "other", "tags": ["Transformer", "text-generation-inference"], "datasets": ["LooksJuicy/ruozhiba", "TigerResearch/sft_zh", "silk-road/alpaca-data-gpt4-chinese"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat/blob/main/LICENSE"} | REILX/Qwen1.5-7B-Chat-tigerbot-alpacadatagpt4-ruozhiba-lora | null | [
"Transformer",
"text-generation-inference",
"zh",
"en",
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"license:other",
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| ### Coming Soon!!!!!!
### 使用数据集alpaca-data-gpt4-chinese、sft\_zh、ruozhiba对Qwen1.5-7B-Chat微调，测试结果显示CEVAL和MMLU分数均有上升
### 模型：
* URL
### 数据集：
* URL
* URL
* URL
### 结果
模型名称: Qwen1.5-7B-Chat, CEVAL: 68.61, MMLU: 61.56
模型名称: Qwen1.5-7B-Chat-sft-lora-tigerbot-alpacadatagpt4-ruozhiba-10epoch, CEVAL: 71.09, MMLU: 62... | [
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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. -->
# Llama3_finetued_on_charttotext
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.c... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama3_finetued_on_charttotext", "results": []}]} | moetezsa/Llama3_finetued_on_charttotext | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-05-02T12:29:36+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# Llama3_finetued_on_charttotext
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# Llama3_finetued_on_charttotext\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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"# Llama3_finetued_on_charttotext\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.",
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Max87152/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-02T12:29:40+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | 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": ["unsloth"]} | pollbt/llama_partis | null | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T12:30:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #unsloth #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):
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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": "meta-llama/Meta-Llama-3-70B-Instruct"} | asbabiy/AspectLens-BA-Large-DPO-v2 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-70B-Instruct #region-us
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | gpt-neox |
# joeshmoethefunnyone/pythia-70m-F16-GGUF
This model was converted to GGUF format from [`EleutherAI/pythia-70m`](https://huggingface.co/EleutherAI/pythia-70m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"language": ["en"], "license": "apache-2.0", "library_name": "gpt-neox", "tags": ["pytorch", "causal-lm", "pythia", "llama-cpp", "gguf-my-repo"], "datasets": ["EleutherAI/pile"]} | joeshmoethefunnyone/pythia-70m-F16-GGUF | null | [
"gpt-neox",
"gguf",
"pytorch",
"causal-lm",
"pythia",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:EleutherAI/pile",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T12:31:34+00:00 | [] | [
"en"
] | TAGS
#gpt-neox #gguf #pytorch #causal-lm #pythia #llama-cpp #gguf-my-repo #en #dataset-EleutherAI/pile #license-apache-2.0 #region-us
|
# joeshmoethefunnyone/pythia-70m-F16-GGUF
This model was converted to GGUF format from 'EleutherAI/pythia-70m' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# joeshmoethefunnyone/pythia-70m-F16-GGUF\nThis model was converted to GGUF format from 'EleutherAI/pythia-70m' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"# joeshmoethefunnyone/pythia-70m-F16-GGUF\nThis model was converted to GGUF format from 'EleutherAI/pythia-70m' using URL via the URL's GGUF-my-repo space.\nRefer to the or... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-arabic_ArLAMA
This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-bas... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "bert-base-arabic_ArLAMA", "results": []}]} | AfnanTS/bert-base-arabic_ArLAMA | null | [
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"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-arabic_ArLAMA
This model is a fine-tuned version of asafaya/bert-base-arabic on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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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. -->
# albert_model_03
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "albert_model_03", "results": []}]} | KalaiselvanD/albert_model_03 | null | [
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"license:apache-2.0",
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| albert\_model\_03
=================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6568
* Accuracy: 0.6973
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-to-image | null |
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"stable-diffusion-xl",
"license:other",
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|
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pony_pencil-XL
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-7b-it - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/gemma-7b-... | {} | RichardErkhov/google_-_gemma-7b-it-gguf | null | [
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Github
Discord
Request more models
gemma-7b-it - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-7b-it.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.24GB
Name: gemma-7b-it.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.54GB
Name: gemma-7b-it.IQ3\_S.gguf, Quant metho... | [
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null | transformers |
# Uploaded model
- **Developed by:** grabbysingh
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | grabbysingh/phi_3_mini_4k_personality_lora | null | [
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|
# Uploaded model
- Developed by: grabbysingh
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | abc88767/model42 | null | [
"transformers",
"safetensors",
"stablelm",
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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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feature-extraction | transformers.js | https://huggingface.co/intfloat/multilingual-e5-large with ONNX weights to be compatible with Transformers.js. | {"license": "mit", "library_name": "transformers.js", "pipeline_tag": "feature-extraction"} | sirius422/multilingual-e5-large-onnx | null | [
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#transformers.js #onnx #xlm-roberta #feature-extraction #license-mit #region-us
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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. -->
# Llama-2-7b-hf-threapist-DPO-version-1.1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "Llama-2-7b-hf-threapist-DPO-version-1.1", "results": []}]} | LBK95/Llama-2-7b-hf-threapist-DPO-version-1.1 | null | [
"peft",
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"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-05-02T12:38:46+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
|
# Llama-2-7b-hf-threapist-DPO-version-1.1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None 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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | ilanasto/Reinforce-cartpole | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-02T12:38:52+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | null | # [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-D... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-70B-Instruct-DPO-v0.3-GGUF", "base_model": "MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3", "inference": false, "model_creator": "MaziyarPanahi", "pipeline... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF | null | [
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"region:us"
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| # MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3
## Description
MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3.
IMPORTANT: There is no need ... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | ArnavModanwal/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
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"custom-implementation",
"deep-rl-class",
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] | null | 2024-05-02T12:39:27+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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. -->
# llama3-fine-tuned-5e
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "llama3-fine-tuned-5e", "results": []}]} | mayukhbis/llama3-fine-tuned-5e | null | [
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"unsloth",
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:llama2",
"region:us"
] | null | 2024-05-02T12:39:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us
|
# llama3-fine-tuned-5e
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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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. -->
# bert-scam-classifier-v1
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "bert-scam-classifier-v1", "results": []}]} | BothBosu/bert-scam-classifier-v1 | null | [
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| bert-scam-classifier-v1
=======================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0290
* Accuracy: {'accuracy': 1.0}
* Precision: {'precision': 1.0}
* Recall: {'recall': 1.0}
* F1: {'f1': 1.0}... | [
"### 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: 2",
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.5613215565681458
f1_macro: 0.7270965370193369
f1_micro: 0.7587301587301587
f1_weighted: 0.7500760798400677
precision_macro: 0.7107159142726859
precision_micro: 0.7587301587301587
precision_weighted: 0.761101339760... | {"tags": ["autotrain", "text-classification"], "datasets": ["v14/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Zerithas/v14 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.5613215565681458
f1_macro: 0.7270965370193369
f1_micro: 0.7587301587301587
f1_weighted: 0.7500760798400677
precision_macro: 0.7107159142726859
precision_micro: 0.7587301587301587
precision_weighted: 0.761101339760... | [
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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. -->
# Llama3_finetued_on_charttotext_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingfac... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama3_finetued_on_charttotext_v2", "results": []}]} | moetezsa/Llama3_finetued_on_charttotext_v2 | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-05-02T12:40:44+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# Llama3_finetued_on_charttotext_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None 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 | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NousResearch/Meta-Llama-3-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Meta-... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "NousResearch/Meta-Llama-3-70B", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the terms of the l... | mradermacher/Meta-Llama-3-70B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on sentence-transformers/stsb-distilbert-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/stsb-distilbert-base](https://huggingface.co/sentence-transformers/stsb-distilbert-base) on the [mnrl](https://huggingface.co/datasets/sente... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MultipleNegativesRankingLoss", "loss:ContrastiveLoss"], "metrics": ["cosine_accuracy", "cosine_accuracy_threshold", "cosine_f1", "cosine_f1_threshold", "cosine_precision", "... | tomaarsen/stsb-distilbert-base-mnrl-cl-multi | null | [
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| SentenceTransformer based on sentence-transformers/stsb-distilbert-base
=======================================================================
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null | null |
# Model Name
Description of the model, its uses, and any important information.
## Model Details
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text-generation | transformers |
# Uploaded model
- **Developed by:** waylandzhang
- **License:** apache-2.0
- **Finetuned from model :** Llama-3-8b-Chinese-Roleplay-4bit-lesson-v0.3
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "Llama-3-8b-Chinese-Roleplay-4bit-lesson-v0.3"} | waylandzhang/Llama-3-8b-Chinese-Roleplay-4bit-lesson-v0.3 | null | [
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|
# Uploaded model
- Developed by: waylandzhang
- License: apache-2.0
- Finetuned from model : Llama-3-8b-Chinese-Roleplay-4bit-lesson-v0.3
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# 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": []} | MSey/tiny_BROLLLT_0001.1p | null | [
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# Model Card for Model ID
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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": []} | SotirisLegkas/value_multi | null | [
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null | peft |
# Model Card for Model ID
Fine tuned based on Llama 2 7B to test ludwig QLoRA.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
### Framework versions
- PEFT 0.10.0 | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | advaitkale/mdguc1-ludwig | null | [
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|
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-33b-instruct - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggi... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-33b-instruct-4bits | null | [
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-33b-instruct - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder... | [
"### 1. Introduction of Deepseek Coder\n\nDeepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each mod... | [
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feature-extraction | transformers | # CamemBERTa-L10
This model is a pruned version of the pre-trained [CamemBERTa](https://huggingface.co/almanach/camemberta-base) checkpoint, obtained by [dropping the top-layers](https://doi.org/10.48550/arXiv.2004.03844) from the original model.
## Usage
You can use the raw model for masked language modeling (MLM),... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "inference": false, "pipeline_tag": "feature-extraction"} | antoinelouis/camemberta-L10 | null | [
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"fr"
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#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us
| CamemBERTa-L10
==============
This model is a pruned version of the pre-trained CamemBERTa checkpoint, obtained by dropping the top-layers from the original model.
Usage
-----
You can use the raw model for masked language modeling (MLM), but it's mostly intended to be fine-tuned on a downstream task, especially o... | [] | [
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text-generation | transformers |
This is a copy of 'Qwen/Qwen-VL-Chat-Int4' but with the possibility to pass the image tensors as a parameter, not downloading them from internet. model.forward(**inputs) -> model.forward(**inputs, image_list) | {"license": "apache-2.0"} | giobin/Qwen-VL-Chat-Int4-fromImageList | null | [
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|
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation on CIFAR10.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('efekankavalci/ddpm-cifar10-... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | efekankavalci/ddpm-cifar10-unconditional | null | [
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|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation on CIFAR10.
## Usage
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text-generation | null |
## Llamacpp imatrix Quantizations of Awanllm-Llama-3-8B-Instruct-ORPO-v0.1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
Original model: https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-In... | {"license": "llama3", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Awanllm-Llama-3-8B-Instruct-ORPO-v0.1-GGUF | null | [
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#gguf #text-generation #license-llama3 #region-us
| Llamacpp imatrix Quantizations of Awanllm-Llama-3-8B-Instruct-ORPO-v0.1
-----------------------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
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text-generation | transformers |
# Uploaded model
- **Developed by:** walid-iguider
- **License:** cc-by-nc-sa-4.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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.githubuserconten... | {"language": ["it"], "license": "cc-by-nc-sa-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "datasets": ["mchl-labs/stambecco_data_it"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | walid-iguider/Phi-3-mini-4k-instruct-Ita-600 | null | [
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# Uploaded model
- Developed by: walid-iguider
- License: cc-by-nc-sa-4.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers | This is an initial finetune of Llama 3 on the conceptnet "UsedFor" relationships (4000 relationships) | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["merge", "llama", "unsloth", "trl", "sft"], "datasets": ["vloverar/conceptnet_UsedFor_en_en_mixtral_finetune"]} | EvilScript/Meta-Llama-3-8B-Instruct-conceptnet_UsedFor_en_en | null | [
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feature-extraction | transformers | # fine-tuned/jina-embeddings-v2-base-en-02052024-jkqyd3174i-webapp_3375412925
## Model Description
fine-tuned/jina-embeddings-v2-base-en-02052024-jkqyd3174i-webapp_3375412925 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support var... | {} | fine-tuned/jina-embeddings-v2-base-en-02052024-jkqyd3174i-webapp_3375412925 | null | [
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#transformers #safetensors #bert #feature-extraction #custom_code #region-us
| # fine-tuned/jina-embeddings-v2-base-en-02052024-jkqyd3174i-webapp_3375412925
## Model Description
fine-tuned/jina-embeddings-v2-base-en-02052024-jkqyd3174i-webapp_3375412925 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
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null | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
# Model Card for Model ID
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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": []} | safinal/Llama-3-Persian-8B-LoRA | null | [
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text-classification | transformers |
## AfriSenti Hausa Sentiment Regressor Description
Takes a text and predicts the sentiment value between -1 (Negative) to 1 (Positive) with 0 being Neutral.
Regression Value Description:
| Value | Sentiment |
|--|--|
| -1 | Negative |
| 0 | Neutral |
| 1 | Positive |
## How to Get Started with the Model
Use the ... | {"library_name": "transformers", "tags": []} | HausaNLP/afrisenti-hau-regression | null | [
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| AfriSenti Hausa Sentiment Regressor Description
-----------------------------------------------
Takes a text and predicts the sentiment value between -1 (Negative) to 1 (Positive) with 0 being Neutral.
Regression Value Description:
How to Get Started with the Model
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | emiliomartin84/SpaceInvaders | null | [
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# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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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. -->
# SFTCodeBertbase-mlm-APPS5k
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["apps"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "SFTCodeBertbase-mlm-APPS5k", "results": []}]} | AdnanRiaz107/SFTCodeBertbase-mlm-APPS5k | null | [
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| SFTCodeBertbase-mlm-APPS5k
==========================
This model is a fine-tuned version of microsoft/codebert-base-mlm on the apps dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9251
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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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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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<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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null | null |
<!-- 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. -->
# roberta-base-ner-demo
This model is a fine-tuned version of [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsog... | {"language": ["mn"], "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bayartsogt/mongolian-roberta-base", "model-index": [{"name": "roberta-base-ner-demo", "results": []}]} | munkhdelger1/roberta-base-ner-demo | null | [
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| roberta-base-ner-demo
=====================
This model is a fine-tuned version of bayartsogt/mongolian-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1566
* Precision: 0.6857
* Recall: 0.7725
* F1: 0.7265
* Accuracy: 0.9453
Model description
-----------------
... | [
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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": []} | theGhoul21/OrpoMistral-8B-SRL | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# mistral-finetune
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "mistral-finetune", "results": []}]} | yo25/mistral-finetune | null | [
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| mistral-finetune
================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6845
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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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. -->
# mistral-7b-sft-lora-ha
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator", "HachiML/Hachi-Alpaca-Mixtral-8x22B-Instruct-v0.1"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-sft-lora-ha", "results": []}]} | HachiML/mistral-7b-sft-lora-ha-v0.2_cleaned | null | [
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| mistral-7b-sft-lora-ha
======================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3798
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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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": []} | akshay-nambiar/Mistral-7B-Instruct-v0.8-custom-with-steps | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# outputs
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "outputs", "results": []}]} | pilsneyrouset/outputs | null | [
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# outputs
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
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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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-rob... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | alexisxiaoyu/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1348
* F1: 0.8641
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is being trained on around 400B tokens and this is step 51k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT Lice... | {"license": "apache-2.0"} | DrNicefellow/GPT-2-Large-51k-steps | null | [
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|
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from URL
It is being trained on around 400B tokens and this is step 51k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
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feature-extraction | transformers | # CamemBERTa-L8
This model is a pruned version of the pre-trained [CamemBERTa](https://huggingface.co/almanach/camemberta-base) checkpoint, obtained by [dropping the top-layers](https://doi.org/10.48550/arXiv.2004.03844) from the original model.
## Usage
You can use the raw model for masked language modeling (MLM), ... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "inference": false, "pipeline_tag": "feature-extraction"} | antoinelouis/camemberta-L8 | null | [
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#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us
| CamemBERTa-L8
=============
This model is a pruned version of the pre-trained CamemBERTa checkpoint, obtained by dropping the top-layers from the original model.
Usage
-----
You can use the raw model for masked language modeling (MLM), but it's mostly intended to be fine-tuned on a downstream task, especially one... | [] | [
"TAGS\n#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us \n"
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28
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feature-extraction | transformers | # CamemBERTa-L6
This model is a pruned version of the pre-trained [CamemBERTa](https://huggingface.co/almanach/camemberta-base) checkpoint, obtained by [dropping the top-layers](https://doi.org/10.48550/arXiv.2004.03844) from the original model.
## Usage
You can use the raw model for masked language modeling (MLM), ... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "inference": false, "pipeline_tag": "feature-extraction"} | antoinelouis/camemberta-L6 | null | [
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| CamemBERTa-L6
=============
This model is a pruned version of the pre-trained CamemBERTa checkpoint, obtained by dropping the top-layers from the original model.
Usage
-----
You can use the raw model for masked language modeling (MLM), but it's mostly intended to be fine-tuned on a downstream task, especially one... | [] | [
"TAGS\n#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us \n"
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28
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null | null |
# ChimerallamaConfigurable-7B
ChimerallamaConfigurable-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3)
* [vicgalle/Configurable-Llama-3-8B-v0.2](https://hugg... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["mlabonne/ChimeraLlama-3-8B-v3", "vicgalle/Configurable-Llama-3-8B-v0.2"]} | automerger/ChimerallamaConfigurable-7B | null | [
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|
# ChimerallamaConfigurable-7B
ChimerallamaConfigurable-7B is an automated merge created by Maxime Labonne using the following configuration.
* mlabonne/ChimeraLlama-3-8B-v3
* vicgalle/Configurable-Llama-3-8B-v0.2
## Configuration
## Usage
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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
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- **Funded by [optional]:** [More Information Needed]
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# Model Card for Model ID
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberFriend_1.0
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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberFriend_1.0"} | LeroyDyer/Mixtral_AI_CyberUltron_DPO | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | EpicJhon/13-sn6m6 | 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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feature-extraction | transformers | # CamemBERTa-L4
This model is a pruned version of the pre-trained [CamemBERTa](https://huggingface.co/almanach/camemberta-base) checkpoint, obtained by [dropping the top-layers](https://doi.org/10.48550/arXiv.2004.03844) from the original model.
## Usage
You can use the raw model for masked language modeling (MLM), ... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "inference": false, "pipeline_tag": "feature-extraction"} | antoinelouis/camemberta-L4 | null | [
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] | TAGS
#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us
| CamemBERTa-L4
=============
This model is a pruned version of the pre-trained CamemBERTa checkpoint, obtained by dropping the top-layers from the original model.
Usage
-----
You can use the raw model for masked language modeling (MLM), but it's mostly intended to be fine-tuned on a downstream task, especially one... | [] | [
"TAGS\n#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us \n"
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28
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feature-extraction | transformers | # CamemBERTa-L2
This model is a pruned version of the pre-trained [CamemBERTa](https://huggingface.co/almanach/camemberta-base) checkpoint, obtained by [dropping the top-layers](https://doi.org/10.48550/arXiv.2004.03844) from the original model.
## Usage
You can use the raw model for masked language modeling (MLM), ... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "inference": false, "pipeline_tag": "feature-extraction"} | antoinelouis/camemberta-L2 | null | [
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"deberta-v2",
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"fr"
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#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us
| CamemBERTa-L2
=============
This model is a pruned version of the pre-trained CamemBERTa checkpoint, obtained by dropping the top-layers from the original model.
Usage
-----
You can use the raw model for masked language modeling (MLM), but it's mostly intended to be fine-tuned on a downstream task, especially one... | [] | [
"TAGS\n#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #safetensors #deberta-v2 #feature-extraction #fr #license-mit #region-us \n"
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