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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aratako/Japanese-Starling-ChatV-7B-RP
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": "Aratako/Japanese-Starling-ChatV-7B-RP", "quantized_by": "mradermacher"} | mradermacher/Japanese-Starling-ChatV-7B-RP-GGUF | null | [
"transformers",
"gguf",
"not-for-all-audiences",
"nsfw",
"en",
"dataset:grimulkan/LimaRP-augmented",
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"base_model:Aratako/Japanese-Starling-ChatV-7B-RP",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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] | TAGS
#transformers #gguf #not-for-all-audiences #nsfw #en #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Japanese-Starling-ChatV-7B-RP #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# gemma-2B Fine-Tuning on SAIL/Symbolic-Instruction-Tuning
This repository contains the `gemma-2B` model fine-tuned on the `sail/symbolic-instruction-tuning` dataset. The model is designed to interpret and execute symbolic instructions with improved accuracy and efficiency.
## Overview
The `gemma-2B` model, origina... | {"license": "apache-2.0", "datasets": ["sail/symbolic-instruction-tuning"]} | rootsec1/gemma-2B-it-aipi | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# gemma-2B Fine-Tuning on SAIL/Symbolic-Instruction-Tuning
This repository contains the 'gemma-2B' model fine-tuned on the 'sail/symbolic-instruction-tuning' dataset. The model is designed to interpret and execute symbolic instructions with improved accuracy and efficiency.
## Overview
The 'gemma-2B' model, origina... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["l3utterfly/tinyllama-1.1b-layla-v4", "appvoid/palmer-003", "vihangd/DopeyTinyLlama-1.1B-v1", "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T"]} | appvoid/palmer-instruct-test-13 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T as a base.
### Models Merged
The following models were included in the merge:
* l3utte... | [
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zero-shot-image-classification | transformers |
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer visi... | {"tags": ["vision"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png", "candidate_labels": "playing music, playing sports", "example_title": "Cat & Dog"}]} | polypo/openai-clip-vit-large-patch14 | null | [
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#transformers #pytorch #tf #jax #safetensors #clip #zero-shot-image-classification #vision #arxiv-2103.00020 #arxiv-1908.04913 #endpoints_compatible #region-us
|
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability... | [
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zero-shot-image-classification | open_clip | # Model Card for CLIP ViT-bigG/14 - LAION-2B
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Acknowledgements](#acknowledgements)
6. [Citation](#citation)
7. [How To Get Started With the Model](#how-to-get-started-with-... | {"license": "mit", "library_name": "open_clip", "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png", "candidate_labels": "playing music, playing sports", "example_title": "Cat & Dog"}], "pipeline_tag": "zero-shot-image-classification"} | polypo/laion-CLIP-ViT-bigG-14-laion2B-39B-b160k | null | [
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| # Model Card for CLIP ViT-bigG/14 - LAION-2B
# Table of Contents
1. Model Details
2. Uses
3. Training Details
4. Evaluation
5. Acknowledgements
6. Citation
7. How To Get Started With the Model
# Model Details
## Model Description
A CLIP ViT-bigG/14 model trained with the LAION-2B English subset of LAION-5B (URL ... | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aneeshks/vit-base-patch16-224-in21k-lora-cifar100 | null | [
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"1910.09700"
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#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1
This model is a fine-tuned version of [FacebookAI/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1", "results": []}]} | vg055/xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1 | null | [
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| xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1
================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7095
* F1: 0.7742
Model descri... | [
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null | null |
# MrAiran/pythia-13b-deduped-green_devil-Q4_K_S-GGUF
This model was converted to GGUF format from [`Pirr/pythia-13b-deduped-green_devil`](https://huggingface.co/Pirr/pythia-13b-deduped-green_devil) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"tags": ["llama-cpp", "gguf-my-repo"]} | MrAiran/pythia-13b-deduped-green_devil-Q4_K_S-GGUF | null | [
"gguf",
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# MrAiran/pythia-13b-deduped-green_devil-Q4_K_S-GGUF
This model was converted to GGUF format from 'Pirr/pythia-13b-deduped-green_devil' 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 C... | [
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text-generation | transformers | # nbeerbower/bophades-mistral-truthy-DPO-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [bophades-mistral-truthy-DPO-7B](https://huggingface.co/nbeerbower/bophades-mistral-truthy-DPO-7B)
![image/png](https://huggingface.co/nbeerbower/bophades-mistral-7B/resolve/main/bophades... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "finetuned", "mistral"], "datasets": ["jondurbin/truthy-dpo-v0.1"], "base_model": ["nbeerbower/bophades-v2-mistral-7B"], "pipeline_tag": "text-generation", "inference": f... | solidrust/bophades-mistral-truthy-DPO-7B-AWQ | null | [
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| # nbeerbower/bophades-mistral-truthy-DPO-7B AWQ
- Model creator: nbeerbower
- Original model: bophades-mistral-truthy-DPO-7B
!image/png
## Model Summary
bophades-v2-mistral-7B finetuned on jondurbin/truthy-dpo-v0.1.
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with Direct Preference Opt... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["appvoid/palmer-003", "l3utterfly/tinyllama-1.1b-layla-v4", "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T", "vihangd/DopeyTinyLlama-1.1B-v1"]} | appvoid/palmer-instruct-test-14 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T as a base.
### Models Merged
The following models were included in the merge:
* appvoi... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ahforoughi/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ahforoughi/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin48 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T01:16:10+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["l3utterfly/tinyllama-1.1b-layla-v4", "vihangd/DopeyTinyLlama-1.1B-v1", "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T", "appvoid/palmer-003"]} | appvoid/palmer-instruct-test-15 | null | [
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"base_model:appvoid/palmer-0... | null | 2024-04-18T01:17:37+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T as a base.
### Models Merged
The following models were included in the merge:
* l3utte... | [
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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": []} | TeeA/codeLlama_text2sql_syll_r128 | null | [
"transformers",
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"1910.09700"
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#transformers #tensorboard #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers | # nbeerbower/flammen17-mistral-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [flammen17-mistral-7B](https://huggingface.co/nbeerbower/flammen17-mistral-7B)
## Model Summary
A... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mergekit", "merge"], "base_model": ["nbeerbower/Flammen-Bophades-7B", "nbeerbower/flammen16-mistral-7B"], "pipeline_tag": "text-generation", "inference": false, "quantiz... | solidrust/flammen17-mistral-7B-AWQ | null | [
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| # nbeerbower/flammen17-mistral-7B AWQ
- Model creator: nbeerbower
- Original model: flammen17-mistral-7B
!image/png
## Model Summary
A Mistral 7B LLM built from merging pretrained models and finetuning.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
This is a merg... | [
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null | transformers |
# Uploaded model
- **Developed by:** InferenceIllusionist
- **License:** apache-2.0
- **Finetuned from model :** mistral-community/Mistral-7B-v0.2
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "mistral-community/Mistral-7B-v0.2"} | InferenceIllusionist/lora_mistral-7b-RealWorldQA-v0.2 | null | [
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|
# Uploaded model
- Developed by: InferenceIllusionist
- License: apache-2.0
- Finetuned from model : mistral-community/Mistral-7B-v0.2
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ahforoughi/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | ahforoughi/taxi-v3 | null | [
"Taxi-v3",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-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": []} | kreas/Mistral-7B-v0.1-GPTQ-2bit | 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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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Gemma 2B Translation v0.102
- Eval Loss: `1.35643`
- Train Loss: `1.46109`
- lr: `3e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>### English
Hamsters don't eat cats.
### Korean
햄스터는 고양이를 먹지 않습니다.<eos>
```
## Model Description
- **Developed by:** `lemon-mint`
- **Model typ... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "datasets": ["traintogpb/aihub-flores-koen-integrated-sparta-30k"], "widget": [{"messages": [{"role": "user", "content": "Hamsters don't eat cats."}]}], "inference": {"parameters... | lemon-mint/gemma-2b-translation-v0.102 | null | [
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"endpoints_compatibl... | null | 2024-04-18T01:21:10+00:00 | [] | [
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|
# Gemma 2B Translation v0.102
- Eval Loss: '1.35643'
- Train Loss: '1.46109'
- lr: '3e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model: b... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["appvoid/palmer-003", "vihangd/DopeyTinyLlama-1.1B-v1", "l3utterfly/tinyllama-1.1b-layla-v4", "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T"]} | appvoid/palmer-instruct-test-16 | null | [
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"base_model:TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.... | null | 2024-04-18T01:21:37+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T as a base.
### Models Merged
The following models were included in the merge:
* appvoi... | [
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text-generation | transformers | # nbeerbower/flammen17-py-DPO-v1-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [flammen17-py-DPO-v1-7B](https://huggingface.co/nbeerbower/flammen17-py-DPO-v1-7B)
## Model Summ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "experimental"], "datasets": ["jondurbin/py-dpo-v0.1"], "base_model": ["nbeerbower/flammen17-mistral-7B"], "pipeline_tag": "text-generation", "inference": false, "quantiz... | solidrust/flammen17-py-DPO-v1-7B-AWQ | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-18T01:23:15+00:00 | [] | [] | TAGS
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| # nbeerbower/flammen17-py-DPO-v1-7B AWQ
- Model creator: nbeerbower
- Original model: flammen17-py-DPO-v1-7B
!image/png
## Model Summary
A Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's py-dpo-v0.1.
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with Dir... | [
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"## Model Summary\n\nA Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's py-dpo-v0.1.\n\nFinetuned using an A100 on Google Colab. \n\nFine-tune a Mistr... | [
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text-generation | transformers | # Mistral-RealworldQA-v0.2-7b SFT
<img src="https://i.imgur.com/Pf53ms5.jpeg" width="400"/>
GGUFs can be found [here](https://huggingface.co/InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF)
An experiment with the goal of reducing hallucinations in [VQA](https://huggingface.co/tasks/visual-question-answeri... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "datasets": ["visheratin/realworldqa"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT | null | [
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"regio... | null | 2024-04-18T01:24:37+00:00 | [] | [
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| # Mistral-RealworldQA-v0.2-7b SFT
<img src="https://i.URL width="400"/>
GGUFs can be found here
An experiment with the goal of reducing hallucinations in VQA
First in a series of experiments centering around fine-tuning for image captioning.
<h1>Release Notes</h1>
* v0.1 - Initial Release
* <b>v0.2</b> (Current)... | [
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text-generation | transformers | # nbeerbower/Maidphin-Kunoichi-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [Maidphin-Kunoichi-7B](https://huggingface.co/nbeerbower/Maidphin-Kunoichi-7B)
## Model Summary
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mer... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "base_model": ["SanjiWatsuki/Kunoichi-DPO-v2-7B", "nbeerbower/maidphin"], "inference": f... | solidrust/Maidphin-Kunoichi-7B-AWQ | null | [
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"license:cc-by-nc-4.0",
"text-generat... | null | 2024-04-18T01:26:15+00:00 | [] | [] | TAGS
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| # nbeerbower/Maidphin-Kunoichi-7B AWQ
- Model creator: nbeerbower
- Original model: Maidphin-Kunoichi-7B
## Model Summary
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
* SanjiWatsuki/Kunoic... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ahforoughi/taxi-v3-100k", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3-100k", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56... | ahforoughi/taxi-v3-100k | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T01:26:40+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kotokin/Merged-RP-Stew-V2-51B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Merged-RP-S... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "base_model": "Kotokin/Merged-RP-Stew-V2-51B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Merged-RP-Stew-V2-51B-GGUF | null | [
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] | null | 2024-04-18T01:26:43+00:00 | [] | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_shp2_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_shp2_dpo1", "results": []}]} | guoyu-zhang/model_shp2_dpo1 | null | [
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"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-18T01:27:20+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_shp2\_dpo1
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3878
* Rewards/chosen: -7.7597
* Rewards/rejected: -8.0105
* Rewards/accuracies: 0.6100
* Rewards/margins: 0.2509
* Logps/... | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_fasttext_skip_s1000
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc]... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_fasttext_skip_s1000 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T01:29:02+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_fasttext_skip_s1000
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["appvoid/palmer-003", "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", "l3utterfly/tinyllama-1.1b-layla-v4", "vihangd/DopeyTinyLlama-1.1B-v1"]} | appvoid/palmer-instruct-test-17 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T as a base.
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The following models were included in the merge:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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# Model Card for Model ID
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["appvoid/palmer-003", "l3utterfly/tinyllama-1.1b-layla-v4", "vihangd/DopeyTinyLlama-1.1B-v1", "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T"]} | appvoid/palmer-instruct-test-18 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T as a base.
### Models Merged
The following models were included in the merge:
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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": []} | mjyoo2/kullm_arc_lora_ft | null | [
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# Model Card for Model ID
## Model Details
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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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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_glove_s1000
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](http://nil... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_glove_s1000 | null | [
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# mteb-pt/average_pt_nilc_glove_s1000
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model.
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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": []} | kreas/Mistral-7B-v0.1-GPTQ-3bit | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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-Instruct-v0.2_esnli_5000_2ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggi... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_2ep | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | 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. -->
# emotions_flan_tf
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an u... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/flan-t5-base", "model-index": [{"name": "emotions_flan_tf", "results": []}]} | yunaseo/emotions_flan_tf | null | [
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| emotions\_flan\_tf
==================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4970
* F1 Micro: 0.6980
* F1 Macro: 0.6126
* Accuracy: 0.2188
Model description
-----------------
More information needed
In... | [
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text-generation | transformers |
# ver_4.1_sft
This model is a fine-tuned version of [yanolja/EEVE-Korean-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0) on the Custom dataset.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size:... | {"language": ["en", "ko"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference"], "pipeline_tag": "text-generation"} | spow12/EEVE_ver_4.1_sft | null | [
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| ver\_4.1\_sft
=============
This model is a fine-tuned version of yanolja/EEVE-Korean-10.8B-v1.0 on the Custom dataset.
Training procedure
------------------
### Training hyperparameters
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* train\_batch\_size: 1
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null | null | GGUFs for Jersey Devil 14b - https://huggingface.co/MarsupialAI/JerseyDevil-14b
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt | {} | MarsupialAI/JerseyDevil-14b_iMatrix_GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-18T01:48:42+00:00 | [] | [] | TAGS
#gguf #region-us
| GGUFs for Jersey Devil 14b - URL
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt | [] | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_wang2vec_skip_s1000
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc]... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_wang2vec_skip_s1000 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T01:50:22+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_wang2vec_skip_s1000
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 1000 dimensional dense vector space and can be used f... | [
"# mteb-pt/average_pt_nilc_wang2vec_skip_s1000\n\nThis is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 1000 dimensional dense vector space and can... | [
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null | null |
# DavidAU/LDCC-SOLAR-10.7B-Q8_0-GGUF
This model was converted to GGUF format from [`LDCC/LDCC-SOLAR-10.7B`](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"language": ["ko"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LDCC-SOLAR-10.7B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"ko",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-18T01:51:13+00:00 | [] | [
"ko"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #ko #license-cc-by-nc-4.0 #region-us
|
# DavidAU/LDCC-SOLAR-10.7B-Q8_0-GGUF
This model was converted to GGUF format from 'LDCC/LDCC-SOLAR-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# DavidAU/LDCC-SOLAR-10.7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'LDCC/LDCC-SOLAR-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
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null | transformers | # Mistral-RealworldQA-v0.2-7b SFT GGUF
<img src="https://i.imgur.com/Pf53ms5.jpeg" width="400"/>
An experiment with the goal of reducing hallucinations in [VQA](https://huggingface.co/tasks/visual-question-answering)
First in a series of experiments centering around fine-tuning for image captioning.
<h1>Release No... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "gguf"], "datasets": ["visheratin/realworldqa"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF | null | [
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"base_model:unsloth/mistral-7b-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
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| # Mistral-RealworldQA-v0.2-7b SFT GGUF
<img src="https://i.URL width="400"/>
An experiment with the goal of reducing hallucinations in VQA
First in a series of experiments centering around fine-tuning for image captioning.
<h1>Release Notes</h1>
* v0.1 - Initial Release
* <b>v0.2</b> (Current)- Updating base mode... | [
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null | null |
# DavidAU/Sensualize-Solar-10.7B-Q8_0-GGUF
This model was converted to GGUF format from [`Sao10K/Sensualize-Solar-10.7B`](https://huggingface.co/Sao10K/Sensualize-Solar-10.7B) 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]... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": ["upstage/SOLAR-10.7B-v1.0"]} | DavidAU/Sensualize-Solar-10.7B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:upstage/SOLAR-10.7B-v1.0",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-18T01:52:49+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #base_model-upstage/SOLAR-10.7B-v1.0 #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Sensualize-Solar-10.7B-Q8_0-GGUF
This model was converted to GGUF format from 'Sao10K/Sensualize-Solar-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/Sensualize-Solar-10.7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Sao10K/Sensualize-Solar-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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text-generation | transformers | This model is a fine-tuning of Llama 7B LLM.
This model, known as Llama 7B LLM, is a remarkable achievement in the field of natural language processing. Developed as a successor to its predecessor, Llama 6B LLM, this fine-tuned version exhibits enhanced capabilities and improved performance. Let's delve into the advanc... | {"license": "apache-2.0"} | naivecat/cherry_5_7B | null | [
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"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T01:52:51+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This model is a fine-tuning of Llama 7B LLM.
This model, known as Llama 7B LLM, is a remarkable achievement in the field of natural language processing. Developed as a successor to its predecessor, Llama 6B LLM, this fine-tuned version exhibits enhanced capabilities and improved performance. Let's delve into the advanc... | [] | [
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] |
null | null | TRIGGERED WORD : CumOnFAceQuiron Style | {} | keanurefresh/239803 | null | [
"region:us"
] | null | 2024-04-18T01:53:10+00:00 | [] | [] | TAGS
#region-us
| TRIGGERED WORD : CumOnFAceQuiron Style | [] | [
"TAGS\n#region-us \n"
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text-generation | null |
## Model Summary
Phi-mmlu-lora is a LORA model which fine-tuned on gsm8k dataset. The base model is [microsoft/phi-2](https://huggingface.co/microsoft/phi-2).
## How to Use
```python
import torch
from transformers import AutoTokenizer
from peft import AutoPeftModelForCausalLM
torch.set_default_device("cuda")
m... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | liuchanghf/phi2-gsm8k-lora | null | [
"safetensors",
"nlp",
"code",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-18T01:53:25+00:00 | [] | [
"en"
] | TAGS
#safetensors #nlp #code #text-generation #en #license-mit #region-us
|
## Model Summary
Phi-mmlu-lora is a LORA model which fine-tuned on gsm8k dataset. The base model is microsoft/phi-2.
## How to Use
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] |
null | transformers |
# DavidAU/nox-solar-10.7b-v4-Q8_0-GGUF
This model was converted to GGUF format from [`davidkim205/nox-solar-10.7b-v4`](https://huggingface.co/davidkim205/nox-solar-10.7b-v4) 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](h... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/nox-solar-10.7b-v4-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T01:54:03+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/nox-solar-10.7b-v4-Q8_0-GGUF
This model was converted to GGUF format from 'davidkim205/nox-solar-10.7b-v4' 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... | [
"# DavidAU/nox-solar-10.7b-v4-Q8_0-GGUF\nThis model was converted to GGUF format from 'davidkim205/nox-solar-10.7b-v4' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Priyanshu0007/AquaLlama-2-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "library_name": "transformers", "base_model": "Priyanshu0007/AquaLlama-2-7b", "quantized_by": "mradermacher"} | mradermacher/AquaLlama-2-7b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Priyanshu0007/AquaLlama-2-7b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T01:54:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Priyanshu0007/AquaLlama-2-7b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] | [
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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": []} | kreas/Mistral-7B-v0.1-GPTQ-4bit | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-18T01:54:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# Mistral-7B-Instruct-v0.2_medical_bios_5000_1ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_medical_bios_5000_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_1ep | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T01:55:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #generated_from_trainer #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-7B-Instruct-v0.2_medical_bios_5000_1ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inform... | [
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text-generation | transformers | # nbeerbower/flammen17-py-DPO-v1-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [flammen17-py-DPO-v1-7B](https://huggingface.co/nbeerbower/flammen17-py-DPO-v1-7B)
## Model Summ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "experimental"], "datasets": ["jondurbin/py-dpo-v0.1"], "base_model": ["nbeerbower/flammen17-mistral-7B"], "pipeline_tag": "text-generation", "inference": false, "quantiz... | solidrust/Flammen-Trismegistus-7B-AWQ | null | [
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| # nbeerbower/flammen17-py-DPO-v1-7B AWQ
- Model creator: nbeerbower
- Original model: flammen17-py-DPO-v1-7B
!image/png
## Model Summary
A Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's py-dpo-v0.1.
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with Dir... | [
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text-generation | transformers | # R136a1/InfinityKuno-2x7B AWQ
- Model creator: [R136a1](https://huggingface.co/R136a1)
- Original model: [InfinityKuno-2x7B](https://huggingface.co/R136a1/InfinityKuno-2x7B)
![InfinityKuno-2x7B](https://cdn.discordapp.com/attachments/843160171676565508/1219033838454313091/00069-4195457282.jpeg?ex=6609d4bb&is=65f75fb... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "safetensors", "mixtral", "not-for-all-audiences", "nsfw"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model... | solidrust/InfinityKuno-2x7B-AWQ | null | [
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"nsfw",
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"region:us"
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| # R136a1/InfinityKuno-2x7B AWQ
- Model creator: R136a1
- Original model: InfinityKuno-2x7B
!InfinityKuno-2x7B
## Model Sumamry
Experimental model from Endevor/InfinityRP-v1-7B and SanjiWatsuki/Kunoichi-DPO-v2-7B models. Merged to MoE model with 2x7B parameters.
### Prompt format:
Alpaca, Extended Alpaca, Roleplay... | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_word2vec_skip_s1000
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc]... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_skip_s1000 | null | [
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"region:us"
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] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_skip_s1000
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
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text-generation | transformers | # mistralai/Mistral-7B-Instruct-v0.2 AWQ
- Model creator: [mistralai](https://huggingface.co/mistralai)
- Original model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
## Model Summary
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "finetuned"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Mistral-7B-Instruct-v0.2-AWQ | null | [
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"license:apache-2.0",
"text-generation-inference",
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"2310.06825"
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| # mistralai/Mistral-7B-Instruct-v0.2 AWQ
- Model creator: mistralai
- Original model: Mistral-7B-Instruct-v0.2
## Model Summary
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/opena... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed", "ymoslem/Tatoeba-Speech-Irish", "ymoslem/Wikimedia-Speech-Irish"], "metrics": ["bleu", "wer"], "base_mo... | ymoslem/whisper-small-ga2en-v4 | null | [
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"dataset:ymoslem/... | null | 2024-04-18T01:57:33+00:00 | [] | [
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======================================
This model is a fine-tuned version of openai/whisper-small on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia as well as a copy of the dataset with noise reduction and normalization (for both train and test) dataset.
T... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.000001_ablation_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.000001_ablation_iter_1", "results": []}]} | ShenaoZ/0.000001_ablation_iter_1 | null | [
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|
# 0.000001_ablation_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | null | TRIGGERED WORDS : bukkake, cum, facial | {} | keanurefresh/134097 | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mamba_imbalanced
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation se... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_imbalanced", "results": []}]} | erostrate9/mamba_imbalanced | null | [
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#transformers #pytorch #generated_from_trainer #endpoints_compatible #region-us
| mamba\_imbalanced
=================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2374
* Accuracy: 0.9367
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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text-classification | bertopic |
# C2-Topic-Model-100
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic
... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | AlexanderHolmes0/C2-Topic-Model-100 | null | [
"bertopic",
"text-classification",
"has_space",
"region:us"
] | null | 2024-04-18T02:02:41+00:00 | [] | [] | TAGS
#bertopic #text-classification #has_space #region-us
| C2-Topic-Model-100
==================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
An example of... | [] | [
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17
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - yuffish/model
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were tra... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "inference": true, "base_model": "runw... | yuffish/model | null | [
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"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region... | null | 2024-04-18T02:03:24+00:00 | [] | [] | TAGS
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|
# DreamBooth - yuffish/model
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
#### How... | [
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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. -->
# mytest_trainer_base-cased
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on a... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlnet-base-cased", "model-index": [{"name": "mytest_trainer_base-cased", "results": []}]} | raulgdp/Analisis-sentimientos-bert-uncased | null | [
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| mytest\_trainer\_base-cased
===========================
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1983
* Rmse: 0.2961
Model description
-----------------
More information needed
Intended uses & limitations
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "Salesforce/blip2-opt-2.7b"} | mervezorlu/image-color-model-v2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kmpartner/distilbert-base-uncased-finetuned-squad-d5716d28 | 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": []} | thanhnew2001/bank3 | null | [
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# Model Card for Model ID
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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image-segmentation | pytorch |
# TransNeXt
Official Model release
for ["TransNeXt: Robust Foveal Visual Perception for Vision Transformers"](https://arxiv.org/pdf/2311.17132.pdf) [CVPR 2024]
.
## Model Details
- **Code:** https://github.com/DaiShiResearch/TransNeXt
- **Paper:** [TransNeXt: Robust Foveal Visual Perception for Vision Transformers](h... | {"language": ["en"], "license": "apache-2.0", "library_name": "pytorch", "tags": ["vision"], "datasets": ["imagenet-1k", "ade20k"], "metrics": ["mean_iou"], "pipeline_tag": "image-segmentation"} | DaiShiResearch/upernet-transnext-tiny-ade | null | [
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#pytorch #vision #image-segmentation #en #dataset-imagenet-1k #dataset-ade20k #arxiv-2311.17132 #license-apache-2.0 #region-us
| TransNeXt
=========
Official Model release
for "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024]
.
Model Details
-------------
* Code: URL
* Paper: TransNeXt: Robust Foveal Visual Perception for Vision Transformers
* Author: Dai Shi
* Email: daishiresearch@URL
Methods
-------
##... | [
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text-generation | transformers |
# gemma-2B Fine-Tuning on SAIL/Symbolic-Instruction-Tuning
This repository contains the `gemma-2B` model fine-tuned on the `sail/symbolic-instruction-tuning` dataset. The model is designed to interpret and execute symbolic instructions with improved accuracy and efficiency.
## Overview
The `gemma-2B` model, origina... | {"license": "apache-2.0", "datasets": ["sail/symbolic-instruction-tuning"]} | rootsec1/gemma-2B-inst-aipi | null | [
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|
# gemma-2B Fine-Tuning on SAIL/Symbolic-Instruction-Tuning
This repository contains the 'gemma-2B' model fine-tuned on the 'sail/symbolic-instruction-tuning' dataset. The model is designed to interpret and execute symbolic instructions with improved accuracy and efficiency.
## Overview
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image-segmentation | pytorch |
# TransNeXt
Official Model release
for ["TransNeXt: Robust Foveal Visual Perception for Vision Transformers"](https://arxiv.org/pdf/2311.17132.pdf) [CVPR 2024]
.
## Model Details
- **Code:** https://github.com/DaiShiResearch/TransNeXt
- **Paper:** [TransNeXt: Robust Foveal Visual Perception for Vision Transformers](h... | {"language": ["en"], "license": "apache-2.0", "library_name": "pytorch", "tags": ["vision"], "datasets": ["imagenet-1k", "ade20k"], "metrics": ["mean_iou"], "pipeline_tag": "image-segmentation"} | DaiShiResearch/upernet-transnext-small-ade | null | [
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| TransNeXt
=========
Official Model release
for "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024]
.
Model Details
-------------
* Code: URL
* Paper: TransNeXt: Robust Foveal Visual Perception for Vision Transformers
* Author: Dai Shi
* Email: daishiresearch@URL
Methods
-------
##... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [zzttbrdd/sn6_01m](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_01m", "zzttbrdd/sn6_07m"]} | Sumail/Ame9 | null | [
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"text-generation-inference",
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] | null | 2024-04-18T02:12:39+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* zzttbrdd/sn6_01m
* zzttbrdd/sn6_07m
### Configuration
The following YAML config... | [
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image-segmentation | pytorch |
# TransNeXt
Official Model release
for ["TransNeXt: Robust Foveal Visual Perception for Vision Transformers"](https://arxiv.org/pdf/2311.17132.pdf) [CVPR 2024]
.
## Model Details
- **Code:** https://github.com/DaiShiResearch/TransNeXt
- **Paper:** [TransNeXt: Robust Foveal Visual Perception for Vision Transformers](h... | {"language": ["en"], "license": "apache-2.0", "library_name": "pytorch", "tags": ["vision"], "datasets": ["imagenet-1k", "ade20k"], "metrics": ["mean_iou"], "pipeline_tag": "image-segmentation"} | DaiShiResearch/upernet-transnext-base-ade | null | [
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#pytorch #vision #image-segmentation #en #dataset-imagenet-1k #dataset-ade20k #arxiv-2311.17132 #license-apache-2.0 #region-us
| TransNeXt
=========
Official Model release
for "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024]
.
Model Details
-------------
* Code: URL
* Paper: TransNeXt: Robust Foveal Visual Perception for Vision Transformers
* Author: Dai Shi
* Email: daishiresearch@URL
Methods
-------
##... | [
"#### Pixel-focused attention (Left) & aggregated attention (Right):\n\n\n!pixel-focused\\_attention",
"#### Convolutional GLU (First on the right):\n\n\n!Convolutional GLU\n\n\nResults\n-------",
"#### Image Classification, Detection and Segmentation:\n\n\n!experiment\\_figure",
"#### Attention Visualization... | [
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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. -->
# results
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "results", "results": []}]} | bgsmagnuson/tiny-llama-stack-overflow | null | [
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"generated_from_trainer",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T02:15:47+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# results
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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 hyperparame... | [
"# results\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.",
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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": []} | alexplash/Blocky_Matching | null | [
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] | null | 2024-04-18T02:18:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
model = load_from_hub(repo_id="WharfRat/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | WharfRat/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T02:20:14+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
model = load_from_hub(repo_id="WharfRat/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env =... | [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"WharfRat/q-FrozenLake-v1-4x4-noSlippery\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=False... | [
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text-generation | transformers | # R136a1/InfinityKumon-2x7B AWQ
- Model creator: [R136a1](https://huggingface.co/R136a1)
- Original model: [InfinityKumon-2x7B](https://huggingface.co/R136a1/InfinityKumon-2x7B)
![InfinityKumon-2x7B](https://cdn.discordapp.com/attachments/843160171676565508/1222560876578476103/00000-3033963009.png?ex=6616a98b&is=6604... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "safetensors", "mixtral", "not-for-all-audiences", "nsfw"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model... | solidrust/InfinityKumon-2x7B-AWQ | null | [
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"4-bit",
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"autotrain_compatible",
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"not-for-all-audiences",
"nsfw",
"en",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T02:20:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #not-for-all-audiences #nsfw #en #license-apache-2.0 #model-index #text-generation-inference #region-us
| # R136a1/InfinityKumon-2x7B AWQ
- Model creator: R136a1
- Original model: InfinityKumon-2x7B
!InfinityKumon-2x7B
## Model Summary
Another MoE merge from Endevor/InfinityRP-v1-7B and grimjim/kukulemon-7B.
The reason? Because I like InfinityRP-v1-7B so much and wondering if I can improve it even more by merging 2 gr... | [
"# R136a1/InfinityKumon-2x7B AWQ\n\n- Model creator: R136a1\n- Original model: InfinityKumon-2x7B\n\n!InfinityKumon-2x7B",
"## Model Summary\n\nAnother MoE merge from Endevor/InfinityRP-v1-7B and grimjim/kukulemon-7B.\n\nThe reason? Because I like InfinityRP-v1-7B so much and wondering if I can improve it even mo... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #not-for-all-audiences #nsfw #en #license-apache-2.0 #model-index #text-generation-inference #region-us \n",
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text-generation | transformers | # amazingvince/openhermes-7b-dpo AWQ
- Model creator: [amazingvince](https://huggingface.co/amazingvince)
- Original model: [openhermes-7b-dpo](https://huggingface.co/amazingvince/openhermes-7b-dpo)
## Model Summary
OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 mod... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/openhermes-7b-dpo-AWQ | null | [
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"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T02:21:16+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #license-apache-2.0 #text-generation-inference #region-us
| # amazingvince/openhermes-7b-dpo AWQ
- Model creator: amazingvince
- Original model: openhermes-7b-dpo
## Model Summary
OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets.
Potentially the most interesting finding from tr... | [
"# amazingvince/openhermes-7b-dpo AWQ\n\n- Model creator: amazingvince\n- Original model: openhermes-7b-dpo",
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text-generation | transformers | # amazingvince/Yoda-WizardLM-2.3-7B AWQ
- Model creator: [amazingvince](https://huggingface.co/amazingvince)
- Original model: [Yoda-WizardLM-2.3-7B](https://huggingface.co/amazingvince/Yoda-WizardLM-2.3-7B)
## Model Summary
This model is a fine-tuned version of [amazingvince/Not-WizardLM-2-7B](https://huggingface.c... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "trl", "orpo", "generated_from_trainer"], "base_model": "amazingvince/Not-WizardLM-2-7B", "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Supariou... | solidrust/Yoda-WizardLM-2.3-7B-AWQ | null | [
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"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T02:22:08+00:00 | [] | [] | TAGS
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| # amazingvince/Yoda-WizardLM-2.3-7B AWQ
- Model creator: amazingvince
- Original model: Yoda-WizardLM-2.3-7B
## Model Summary
This model is a fine-tuned version of amazingvince/Not-WizardLM-2-7B on an unknown dataset.
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size... | [
"# amazingvince/Yoda-WizardLM-2.3-7B AWQ\n\n- Model creator: amazingvince\n- Original model: Yoda-WizardLM-2.3-7B",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - DaichiT/path-to-save-model2
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The wei... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of sks dog"} | DaichiT/path-to-save-model2 | null | [
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"region:... | null | 2024-04-18T02:23:32+00:00 | [] | [] | TAGS
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|
# DreamBooth - DaichiT/path-to-save-model2
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitati... | [
"# DreamBooth - DaichiT/path-to-save-model2\n\nThis is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: False.",
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text-generation | transformers |
# BRisa 7B Instruct
This is an instruction model trained for good performance in Portuguese. The initial base is the Mistral 7B v2 Model ([source](https://huggingface.co/mistral-community/Mistral-7B-v0.2)). We utilized the JJhooww/Mistral-7B-v0.2-Base_ptbr version pre-trained on 1 billion tokens in Portuguese ([sourc... | {"license": "apache-2.0", "tags": ["JJhooww/Mistral-7B-v0.2-Base_ptbr", "J-LAB/BRisa"], "model-index": [{"name": "BRisa-7B-Instruct-v0.2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train",... | J-LAB/BRisa-7B-Instruct-v0.2 | null | [
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"endpoints_compatible",
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] | null | 2024-04-18T02:24:17+00:00 | [] | [] | TAGS
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| BRisa 7B Instruct
=================
This is an instruction model trained for good performance in Portuguese. The initial base is the Mistral 7B v2 Model (source). We utilized the JJhooww/Mistral-7B-v0.2-Base\_ptbr version pre-trained on 1 billion tokens in Portuguese (source).
The base model has good performance in... | [
"### Model Sources\n\n\n* Demo: (Demonstracao da Versão DPO)\n\n\nOpen Portuguese LLM Leaderboard Evaluation Results\n==================================================\n\n\nDetailed results can be found here and on the Open Portuguese LLM Leaderboard"
] | [
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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-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | OscarNav/xlm-roberta-base-finetuned-panx-de | null | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T02:34:08+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| 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: 0.1368
* F1: 0.8622
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n... | [
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"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* trai... |
text-generation | transformers | # Fireblossom-32K-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "cgato/TheSpice-7b-v0.1.1", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "SanjiWatsuki/Kunoichi-7B", "mistralai/Mistral-7B-v0.1"]} | grimjim/fireblossom-32K-7B-4.2bpw_h6_exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"arxiv:2212.04089",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"base_model:cgato/TheSpice-7b-v0.1.1",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"base_model:SanjiWatsuki/Kunoichi-7B",
"base_model:mistralai/Mis... | null | 2024-04-18T02:38:10+00:00 | [
"2212.04089"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2212.04089 #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-cgato/TheSpice-7b-v0.1.1 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_model-SanjiWatsuki/Kunoichi-7B #base_model-mistralai/Mistral-7B-v0.1 #license-cc-by-nc-4.0 #autotra... | # Fireblossom-32K-7B
This is a merge of pre-trained language models created using mergekit.
For this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (true) bas... | [
"# Fireblossom-32K-7B\n\nThis is a merge of pre-trained language models created using mergekit.\n\nFor this merge, I went back to Mistral 7B v0.1 for the literal base model for task arithmetic merger, which can be pushed to at least 16K context length after adjusting rope theta from 10K to 100K. With the original (... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2212.04089 #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-cgato/TheSpice-7b-v0.1.1 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_model-SanjiWatsuki/Kunoichi-7B #base_model-mistralai/Mistral-7B-v0.1 #license-cc-by-nc-4.0 #a... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2212.04089 #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-cgato/TheSpice-7b-v0.1.1 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_model-SanjiWatsuki/Kunoichi-7B #base_model-mistralai/Mistral-7B-v0.1 #license-cc-by-nc-4.0 #a... |
null | null |
# DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF
This model was converted to GGUF format from [`Undi95/SolarMaid-v0.1.1`](https://huggingface.co/Undi95/SolarMaid-v0.1.1) 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://huggingfa... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"]} | DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-18T02:38:12+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF
This model was converted to GGUF format from 'Undi95/SolarMaid-v0.1.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'Undi95/SolarMaid-v0.1.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'Undi95/SolarMaid-v0.1.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on t... | [
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"TAGS\n#gguf #not-for-all-audiences #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us \n# DavidAU/SolarMaid-v0.1.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'Undi95/SolarMaid-v0.1.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the mod... |
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"]} | Rudolph314/ppo-PyramidsRND | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-18T02:39:31+00:00 | [] | [] | TAGS
#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 ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n",
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\... |
null | null |
# DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF
This model was converted to GGUF format from [`bhavinjawade/SOLAR-10B-OrcaDPO-Jawade`](https://huggingface.co/bhavinjawade/SOLAR-10B-OrcaDPO-Jawade) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"license": "mit", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"]} | DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Intel/orca_dpo_pairs",
"license:mit",
"region:us"
] | null | 2024-04-18T02:39:43+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us
|
# DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF
This model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-OrcaDPO-Jawade' 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.
C... | [
"# DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-OrcaDPO-Jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serve... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us \n",
"# DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-OrcaDPO-Jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mor... | [
41,
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us \n# DavidAU/SOLAR-10B-OrcaDPO-Jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-OrcaDPO-Jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more deta... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="WharfRat/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.m... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/... | WharfRat/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T02:40:03+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
model = load_from_hub(repo_id="WharfRat/q-Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"WharfRat/q-Taxi-v3\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=False etc)\n env = URL(model[\"env_id... | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"WharfRat/q-Taxi-v3\", filename=\"URL\")\n\n # Don't fo... | [
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"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"WharfRat/q-Taxi-v3\", filename=\"URL\")\n\n # Don't forget t... |
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. -->
# Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T02:40:56+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #generated_from_trainer #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
"# Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inform... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #generated_from_trainer #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep\n\nThis model is a f... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #generated_from_trainer #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Mistral-7B-Instruct-v0.2_medical_bios_5000_2ep\n\nThis model is a fine-tu... |
null | null |
# DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF
This model was converted to GGUF format from [`bhavinjawade/nectororca-solar10b-jawade`](https://huggingface.co/bhavinjawade/nectororca-solar10b-jawade) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to t... | {"license": "mit", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"]} | DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Intel/orca_dpo_pairs",
"license:mit",
"region:us"
] | null | 2024-04-18T02:41:15+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us
|
# DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF
This model was converted to GGUF format from 'bhavinjawade/nectororca-solar10b-jawade' 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... | [
"# DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/nectororca-solar10b-jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL s... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us \n",
"# DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/nectororca-solar10b-jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us \n# DavidAU/nectororca-solar10b-jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/nectororca-solar10b-jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more ... |
text-generation | transformers |
# 🌺 Calyx_7B
A fine-tune of [rmdhirr/Anthesis_7B](https://hf.co/rmdhirr/Anthesis_7B), made for NSFW purposes.
Calyx_7B was trained on these datasets:
- Himitsui/Lewd-Assistant-v1
- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
# Formatting/Preset
Alpaca works best, but Mistral provides good outputs as well.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "fine-tune", "roleplay"], "datasets": ["Himitsui/Lewd-Assistant-v1", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED"], "base_model": "rmdhirr/An... | rmdhirr/Calyx_7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
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"roleplay",
"en",
"dataset:Himitsui/Lewd-Assistant-v1",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED",
"base_model:rmdhirr/Anthesis_7B",
"lice... | null | 2024-04-18T02:42:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #fine-tune #roleplay #en #dataset-Himitsui/Lewd-Assistant-v1 #dataset-athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED #base_model-rmdhirr/Anthesis_7B #license-apache-2.0 #autotrain_compatible #endpoints_compati... |
# Calyx_7B
A fine-tune of rmdhirr/Anthesis_7B, made for NSFW purposes.
Calyx_7B was trained on these datasets:
- Himitsui/Lewd-Assistant-v1
- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
# Formatting/Preset
Alpaca works best, but Mistral provides good outputs as well.
---
<img src="URL width="100"/> | [
"# Calyx_7B\nA fine-tune of rmdhirr/Anthesis_7B, made for NSFW purposes.\n\nCalyx_7B was trained on these datasets:\n- Himitsui/Lewd-Assistant-v1\n- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED",
"# Formatting/Preset\nAlpaca works best, but Mistral provides good outputs as well.\n\n---\n\n<img src=\"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": "mistralai/Mistral-7B-Instruct-v0.2"} | dzungPaduahsgs/Mistral7Bcleaning_adamw_bnb_8bit_model_16bit | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-18T02:45:13+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/cnn_dailymail_6849_bart-dialogsum | null | [
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"bart",
"text2text-generation",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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"## Usage\n\nTo use this model for inference, first install the TRL library:\n\n\n\nYou can... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | dzungPaduahsgs/Mistral7Bcleaning_adamw_bnb_8bit_model_16bit_merged | null | [
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"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-lora-arith-all-simple | null | [
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"1910.09700"
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#peft #safetensors #llama #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | null |
# DavidAU/SOLAR-10B-Nector-DPO-Jawade-Q8_0-GGUF
This model was converted to GGUF format from [`bhavinjawade/SOLAR-10B-Nector-DPO-Jawade`](https://huggingface.co/bhavinjawade/SOLAR-10B-Nector-DPO-Jawade) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"license": "mit", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"]} | DavidAU/SOLAR-10B-Nector-DPO-Jawade-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Intel/orca_dpo_pairs",
"license:mit",
"region:us"
] | null | 2024-04-18T02:55:14+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-Intel/orca_dpo_pairs #license-mit #region-us
|
# DavidAU/SOLAR-10B-Nector-DPO-Jawade-Q8_0-GGUF
This model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-Nector-DPO-Jawade' 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 C... | [
"# DavidAU/SOLAR-10B-Nector-DPO-Jawade-Q8_0-GGUF\nThis model was converted to GGUF format from 'bhavinjawade/SOLAR-10B-Nector-DPO-Jawade' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | transformers |
# DavidAU/SOLAR-10.7B-Instruct-v1.0-DPO-Q8_0-GGUF
This model was converted to GGUF format from [`Eric111/SOLAR-10.7B-Instruct-v1.0-DPO`](https://huggingface.co/Eric111/SOLAR-10.7B-Instruct-v1.0-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to th... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/SOLAR-10.7B-Instruct-v1.0-DPO-Q8_0-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T02:56:24+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/SOLAR-10.7B-Instruct-v1.0-DPO-Q8_0-GGUF
This model was converted to GGUF format from 'Eric111/SOLAR-10.7B-Instruct-v1.0-DPO' 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 CL... | [
"# DavidAU/SOLAR-10.7B-Instruct-v1.0-DPO-Q8_0-GGUF\nThis model was converted to GGUF format from 'Eric111/SOLAR-10.7B-Instruct-v1.0-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ... | [
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text-generation | transformers | # DZgas/GIGABATEMAN-7B AWQ
- Model creator: [DZgas](https://huggingface.co/DZgas)
- Original model: [GIGABATEMAN-7B](https://huggingface.co/DZgas/GIGABATEMAN-7B)
<img src="logo.jpeg">
## Model Summary
If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you
I re... | {"language": ["en"], "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mistral", "llama", "nsfw", "roleplay", "merge"], "base_model": ["KatyTheCutie/LemonadeRP-4.5.3", "LakoMoor/Silicon-Alice-7B", "HuggingFaceH4/zephyr-7b-beta", "Endevor/Infinit... | solidrust/GIGABATEMAN-7B-AWQ | null | [
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"mistral",
"text-generation",
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"base_model:KatyTheCutie/LemonadeRP-4.5.3",
"base_model:LakoMoor/Silicon-Alice-7B",
"base_model:HuggingFaceH4/zephyr-... | null | 2024-04-18T02:57:28+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #llama #nsfw #roleplay #merge #en #base_model-KatyTheCutie/LemonadeRP-4.5.3 #base_model-LakoMoor/Silicon-Alice-7B #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-Endevor/InfinityRP-v1-7B #text-generati... | # DZgas/GIGABATEMAN-7B AWQ
- Model creator: DZgas
- Original model: GIGABATEMAN-7B
<img src="URL">
## Model Summary
If you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you
I recommend using <a href=URL Variant</a> with <a href=URL (do not use GPT4ALL)
This mod... | [
"# DZgas/GIGABATEMAN-7B AWQ\n\n- Model creator: DZgas\n- Original model: GIGABATEMAN-7B\n\n<img src=\"URL\">",
"## Model Summary\n\nIf you tired of neural networks write 90% of warnings and 10% of the response, this neural network is for you\n\nI recommend using <a href=URL Variant</a> with <a href=URL (do not us... | [
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text-generation | transformers | # ozayezerceli/Selocan-2x7B-v1 AWQ
- Model creator: [ozayezerceli](https://huggingface.co/ozayezerceli)
- Original model: [Selocan-2x7B-v1](https://huggingface.co/Locutusque/Selocan-2x7B-v1)
## Model Summary
Selocan-2x7B-v1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://col... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "TURKCELL/Turkcell-LLM-7b-v1", "NovusResearch/Novus-7b-tr_v1"], "base_model": ["TURKCELL/Turkcell-LLM-7b-v1", "N... | solidrust/Selocan-2x7B-v1-AWQ | null | [
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"TURKCELL/Turkcell-LLM-7b-v1",
"NovusResearch/Novus-7b-tr_v1",
"conversational",
"base_model:TURKCELL... | null | 2024-04-18T02:57:47+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #moe #frankenmoe #merge #mergekit #lazymergekit #TURKCELL/Turkcell-LLM-7b-v1 #NovusResearch/Novus-7b-tr_v1 #conversational #base_model-TURKCELL/Turkcell-LLM-7b-v1 #base_model-NovusResearch/Novus-7b-tr_v1 #l... | # ozayezerceli/Selocan-2x7B-v1 AWQ
- Model creator: ozayezerceli
- Original model: Selocan-2x7B-v1
## Model Summary
Selocan-2x7B-v1 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* TURKCELL/Turkcell-LLM-7b-v1
* NovusResearch/Novus-7b-tr_v1
| [
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text-generation | transformers | # Novin-AI/Rava-2x7B-v0.1 AWQ
- Model creator: [Novin-AI](https://huggingface.co/Novin-AI)
- Original model: [Rava-2x7B-v0.1](https://huggingface.co/Novin-AI/Rava-2x7B-v0.1)
## Model Summary
The author has not provided a model card
| {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Rava-2x7B-v0.1-AWQ | null | [
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"conversational",
"text-generation-inference",
"region:us"
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#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # Novin-AI/Rava-2x7B-v0.1 AWQ
- Model creator: Novin-AI
- Original model: Rava-2x7B-v0.1
## Model Summary
The author has not provided a model card
| [
"# Novin-AI/Rava-2x7B-v0.1 AWQ\n\n- Model creator: Novin-AI\n- Original model: Rava-2x7B-v0.1",
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"TAGS\n#transformers #safetensors #mixtral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us \n# Novin-AI/Rava-2x7B-v0.1 AWQ\n\n- Model creator: Novin-AI\n- Original model: Rava-2x7B-v0.1## Model Summary\n\nThe author has not provided a mo... |
text-generation | transformers |
# DavidAU/SOLAR-10.7B-Instruct-Forest-DPO-v1-Q8_0-GGUF
This model was converted to GGUF format from [`abhishekchohan/SOLAR-10.7B-Instruct-Forest-DPO-v1`](https://huggingface.co/abhishekchohan/SOLAR-10.7B-Instruct-Forest-DPO-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/ggu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "nvidia/HelpSteer", "jondurbin/truthy-dpo-v0.1"], "pipeline_tag": "text-generation"} | DavidAU/SOLAR-10.7B-Instruct-Forest-DPO-v1-Q8_0-GGUF | null | [
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|
# DavidAU/SOLAR-10.7B-Instruct-Forest-DPO-v1-Q8_0-GGUF
This model was converted to GGUF format from 'abhishekchohan/SOLAR-10.7B-Instruct-Forest-DPO-v1' 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... | [
"# DavidAU/SOLAR-10.7B-Instruct-Forest-DPO-v1-Q8_0-GGUF\nThis model was converted to GGUF format from 'abhishekchohan/SOLAR-10.7B-Instruct-Forest-DPO-v1' 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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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model-books-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "model-books-sentiment-analysis", "results": []}]} | ginnadoreushn/model-books-sentiment-analysis | null | [
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|
# model-books-sentiment-analysis
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.5
- F1: 0.6667
## Model description
More information needed
## Intended uses & limitations
More information ne... | [
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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": []} | mohamedhachemi/mohazz_V3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | acrobatlm/mistral7binstruct_summarize | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
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: 1.4987
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch... | [
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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": []} | quynguyen1704/deepseek-math-7b-rl-zaloai-v2 | 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):
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | rexanwong/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T03:03:15+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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