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feature-extraction | transformers |
<h1 align="center">llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs</h1>
## About
llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.
T... | {"license": "mit"} | sandspeare/llasm-encoder | null | [
"transformers",
"safetensors",
"roformer",
"feature-extraction",
"custom_code",
"license:mit",
"region:us"
] | null | 2024-04-01T01:09:02+00:00 | [] | [] | TAGS
#transformers #safetensors #roformer #feature-extraction #custom_code #license-mit #region-us
|
<h1 align="center">llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs</h1>
## About
llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.
T... | [
"## About\n\nllasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.\n\nThis is the encoder of llasm."
] | [
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null | transformers |
# Model Card for mEdIT-xxl
The `medit-xxl` model was obtained by fine-tuning the `MBZUAI/bactrian-x-llama-13b-lora` model on the mEdIT dataset.
**Paper:** mEdIT: Multilingual Text Editing via Instruction Tuning
**Authors:** Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar
## Model De... | {"language": ["en", "de", "es", "ar", "ja", "ko", "zh"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["wi_locness", "matejklemen/falko_merlin", "paws", "paws-x", "asset"], "metrics": ["bleu", "rouge", "sari", "accuracy"]} | schweizer/testing.-more | null | [
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"dataset:asset",
"arxiv:2402.16472",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
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|
# Model Card for mEdIT-xxl
The 'medit-xxl' model was obtained by fine-tuning the 'MBZUAI/bactrian-x-llama-13b-lora' model on the mEdIT dataset.
Paper: mEdIT: Multilingual Text Editing via Instruction Tuning
Authors: Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar
## Model Details
#... | [
"# Model Card for mEdIT-xxl\n\nThe 'medit-xxl' model was obtained by fine-tuning the 'MBZUAI/bactrian-x-llama-13b-lora' model on the mEdIT dataset.\n\nPaper: mEdIT: Multilingual Text Editing via Instruction Tuning\n\nAuthors: Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar",
"## Mo... | [
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text-generation | transformers |
# InstrcutPLM
InstructPLM is a state-of-the-art protein design model based on [ProGen2](https://www.cell.com/cell-systems/abstract/S2405-4712(23)00272-7)
and [ProteinMPNN](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997061/)
and trained on [CATH 4.2](https://www.cathdb.info/) dataset.
It can design protein sequen... | {"license": "apache-2.0", "tags": ["biology"], "pipeline_tag": "text-generation"} | InstructPLM/MPNN-ProGen2-xlarge-CATH42 | null | [
"transformers",
"safetensors",
"progen",
"text-generation",
"biology",
"custom_code",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #progen #text-generation #biology #custom_code #license-apache-2.0 #autotrain_compatible #region-us
|
# InstrcutPLM
InstructPLM is a state-of-the-art protein design model based on ProGen200272-7)
and ProteinMPNN
and trained on CATH 4.2 dataset.
It can design protein sequences that accurately conform to specified backbone structures.
<p align="center">
<img src="URL alt="drawing" width="200"/>
</p>
Please visit ou... | [
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"# InstrcutPLM\nInstructPLM is a state-of-the-art protein design model based on ProGen200272-7) \nand ProteinMPNN \nand trained on CATH 4.2 dataset. \nIt can design protein se... | [
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"TAGS\n#transformers #safetensors #progen #text-generation #biology #custom_code #license-apache-2.0 #autotrain_compatible #region-us \n# InstrcutPLM\nInstructPLM is a state-of-the-art protein design model based on ProGen200272-7) \nand ProteinMPNN \nand trained on CATH 4.2 dataset. \nIt can design protein sequence... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | FarhanZaidi/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T01:15:48+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/nisten/shqiponja-90
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/shqiponja-90-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nisten/shqiponja-90", "quantized_by": "mradermacher"} | mradermacher/shqiponja-90-i1-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:nisten/shqiponja-90",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:18:00+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-nisten/shqiponja-90 #license-mit #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nisten/shqiponja-90 #license-mit #endpoints_compatible #region-us \n"
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41
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"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nisten/shqiponja-90 #license-mit #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711934317908x997337708213858600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/t-shirt"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711934317908x997337708213858600 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:RickGrimes001/t-shirt",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T01:18:48+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/t-shirt #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711934317908x997337708213858600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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sentence-similarity | sentence-transformers |
# dbourget/philai-tsdae-6e-1.5cp
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | dbourget/philai-tsdae-6e-1.5cp | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:19:37+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# dbourget/philai-tsdae-6e-1.5cp
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EduardoPacheco/hiera-tiny-224 | null | [
"transformers",
"safetensors",
"hiera",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:20:06+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #hiera #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
static quants of https://huggingface.co/NumbersStation/nsql-llama-2-7B
<!-- provided-files -->
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 Communi... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "NumbersStation/nsql-llama-2-7B", "quantized_by": "mradermacher"} | mradermacher/nsql-llama-2-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:NumbersStation/nsql-llama-2-7B",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:20:06+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-NumbersStation/nsql-llama-2-7B #license-llama2 #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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] |
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. -->
# my_awesome_wnut_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_wnut_model", "results": []}]} | janis332/my_awesome_wnut_model | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:21:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_wnut\_model
========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1401
* Precision: 0.0
* Recall: 0.0
* F1: 0.0
* Accuracy: 0.4444
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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image-classification | fastai | Kissing bug recognition, first trained with fastai 2.0 | {"license": "apache-2.0", "library_name": "fastai", "tags": ["image-classification"]} | lpattori/Vinchucas | null | [
"fastai",
"image-classification",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2024-04-01T01:21:14+00:00 | [] | [] | TAGS
#fastai #image-classification #license-apache-2.0 #has_space #region-us
| Kissing bug recognition, first trained with fastai 2.0 | [] | [
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text-generation | transformers |
<h1 align="center">llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs</h1>
## About
llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.
... | {"license": "mit"} | sandspeare/llasm-decoder | null | [
"transformers",
"llava",
"text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T01:22:04+00:00 | [] | [] | TAGS
#transformers #llava #text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
<h1 align="center">llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs</h1>
## About
llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.
... | [
"## About\n\nllasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.\n\n\nThis is the decoder of llasm. The upload model is a lora adapter, the base model is Vicuna-13B."
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Gweizheng/llama-article-summarize-model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EduardoPacheco/hiera-tiny-224-in1k | 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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null | null | "idk why but for some reason it stopped training at 50 epochs out of 420
so yeah don't use Applio's overtrain detector i guess
maybe i should test it before i make judgements on features"
Quote from P0tatoSalad | {"license": "creativeml-openrail-m"} | P0tatoSalad/GabrielUltrakillStreamVersion | null | [
"license:creativeml-openrail-m",
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#license-creativeml-openrail-m #region-us
| "idk why but for some reason it stopped training at 50 epochs out of 420
so yeah don't use Applio's overtrain detector i guess
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text-generation | transformers | # [MaziyarPanahi/T3qm7xpExperiment26-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qm7xpExperiment26-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qm7xpExperiment26-7B](https://huggingface.co/automerger/T3qm7xpExperiment26-7B)
## Description
[MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/T3QM7XP", "base_model:rwitz/experiment26-truthy-iter-2", "license:apache-2.0", "autotrain_compatible", "... | MaziyarPanahi/T3qm7xpExperiment26-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/T3qm7xpExperiment26-7B
## Description
MaziyarPanahi/T3qm7xpExperiment26-7B-GGUF contains GGUF format model files for automerger/T3qm7xpExperiment26-7B.
## How to use
Thanks to TheBloke for preparing an amazing README ... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B).
This model is intended to be used as a b... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mistral-7B-... | blockblockblock/Hermes-2-Pro-Mistral-10.7B-bpw6 | null | [
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# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of NousResearch/Hermes-2-Pro-Mistral-7B.
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text-generation | transformers |
# Patent-Instruct-Orca-2-Model-Stock
Patent-Instruct-Orca-2-Model-Stock is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
## 𧩠Configuration
```yaml
models:
- model: arcee-ai/Patent-Instruct-7b
- model: microsoft/Orca-2-7b
- model: Danielbrdz/Barcenas-Orca-2-7b
... | {"license": "apache-2.0", "tags": ["merge", "mergekit"]} | arcee-ai/Patent-Instruct-Orca-2-Model-Stock | null | [
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# Patent-Instruct-Orca-2-Model-Stock
Patent-Instruct-Orca-2-Model-Stock is a merge of the following models using mergekit:
## Configuration
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text-classification | transformers |
## Model Description
This model predicts receptor classes, identified by their PDB IDs, from peptide sequences using the [ESM2](https://huggingface.co/docs/transformers/model_doc/esm) (Evolutionary Scale Modeling) protein language model with esm2_t6_8M_UR50D pre-trained weights. The model is fine-tuned for recepto... | {"language": "en", "license": "apache-2.0", "tags": ["transformers", "protein", "peptide-receptor"], "datasets": ["custom"]} | littleworth/esm2_t6_8M_UR50D_pep2rec_cppp | null | [
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## Model Description
This model predicts receptor classes, identified by their PDB IDs, from peptide sequences using the ESM2 (Evolutionary Scale Modeling) protein language model with esm2_t6_8M_UR50D pre-trained weights. The model is fine-tuned for receptor prediction using datasets from PROPEDIA and PepNN, as we... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | chaseharmon/Rap-Mistral-2 | null | [
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null | null | Check G-reen/EXPERIMENT-DPO-m7b2-4-merged (https://huggingface.co/G-reen/EXPERIMENT-DPO-m7b2-4-merged) for details. | {} | G-reen/EXPERIMENT-DPO-m7b2-4-lora | null | [
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text-generation | transformers |
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Note: Extremely buggy, not recommended for use. However, it didn't massively overfit like #3, so it could be usable still.
The training was somewhat unstable, so ... | {"license": "apache-2.0"} | G-reen/EXPERIMENT-DPO-m7b2-4-merged | null | [
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|
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Note: Extremely buggy, not recommended for use. However, it didn't massively overfit like #3, so it could be usable still.
The training was somewhat unstable, so ... | [] | [
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text-classification | setfit |
# SetFit with nreimers/albert-small-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [ag_news](https://huggingface.co/datasets/ag_news) dataset that can be used for Text Classification. This SetFit model uses [nreimers/albert-small-v2](https://huggingface.co/nreimers/albert-small-v2) ... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["ag_news"], "metrics": ["accuracy"], "base_model": "nreimers/albert-small-v2", "widget": [{"text": "Pakistani, US national arrested in New York bomb plot (AFP) AFP - A Pakistani n... | hsmashiana/distilled | null | [
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| SetFit with nreimers/albert-small-v2
====================================
This is a SetFit model trained on the ag\_news dataset that can be used for Text Classification. This SetFit model uses nreimers/albert-small-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classificati... | [
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text-generation | transformers |
# Gemma Ko 7B Instruct v0.41
- Eval Loss: `1.21711`
- lr: `1e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma 7B Ko Instruct v0.41 model is desi... | {"language": ["ko", "en"], "license": "other", "library_name": "transformers", "tags": ["korean", "gemma", "pytorch"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation"} | lemon-mint/gemma-ko-7b-it-v0.41 | null | [
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|
!image/png
# Gemma Ko 7B Instruct v0.41
- Eval Loss: '1.21711'
- lr: '1e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma 7B Ko Instruct v0.41 model is designed for generating human-like text in the Korean language.
It can be used for a variety of natural language... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | jisukim8873/mistral-7B-alpaca-1-epoch | 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]:
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text-generation | transformers |
# Model Card for GPT2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **gpt2** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [gpt2](https://huggingface.co/openai-community/... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_gpt2 | null | [
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|
# Model Card for GPT2 Spell Generation
### Model Description
This model is a fine-tuned gpt2 model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: gpt2
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on the Alp... | [
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text-generation | transformers |
# Model Card for GPT2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **gpt2-large** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [gpt2-large](https://huggingface.co/opena... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_gpt2-large | null | [
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|
# Model Card for GPT2 Spell Generation
### Model Description
This model is a fine-tuned gpt2-large model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: gpt2-large
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format base... | [
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text-generation | transformers | # largefalcon
This is a frankenmerge of [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
The following YAML configuration was used to produce this model:
```yaml
dtype: float16
merge_method: passthrough
slices:
- sources:
... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tiiuae/falcon-180B"]} | monology/largefalcon | null | [
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"region:us"
] | null | 2024-04-01T01:54:42+00:00 | [] | [] | TAGS
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| # largefalcon
This is a frankenmerge of tiiuae/falcon-180B created using mergekit.
## Merge Details
The following YAML configuration was used to produce this model:
| [
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text-generation | transformers |
# Model Card for GPT2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **gpt2-medium** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [gpt2-medium](https://huggingface.co/ope... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_gpt2-medium | null | [
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#transformers #safetensors #gpt2 #text-generation #text-generation-inference #en #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for GPT2 Spell Generation
### Model Description
This model is a fine-tuned gpt2-medium model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: gpt2-medium
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format ba... | [
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null | null | # This is a Test Model
| {} | Temas01/Meto | null | [
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text-generation | transformers |
# Model Card for GPT2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **gpt2-xl** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [gpt2-xl](https://huggingface.co/openai-comm... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_gpt2-xl | null | [
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] | TAGS
#transformers #safetensors #gpt2 #text-generation #text-generation-inference #en #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for GPT2 Spell Generation
### Model Description
This model is a fine-tuned gpt2-xl model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: gpt2-xl
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on t... | [
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text-generation | transformers |
## Base Model:
We made a LLM model with yanolja/KoSOLAR-10.7B-v0.3
## Model Description
We use QLoRA(128, 32) and NEFTune on LLM Fine-tuning
lr=1e-5
## Train Detail
Our Korean data used, and 1 epoch train
## Others
We are making LLM model for Kolon ! | {"language": ["en", "ko"], "license": "cc-by-nc-4.0"} | gwonny/KoSOLAR-10.7B-QLoRA-NEFTune-kolon-v2.1 | null | [
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|
## Base Model:
We made a LLM model with yanolja/KoSOLAR-10.7B-v0.3
## Model Description
We use QLoRA(128, 32) and NEFTune on LLM Fine-tuning
lr=1e-5
## Train Detail
Our Korean data used, and 1 epoch train
## Others
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-125m** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-125m](https://huggingface.co/facebook/o... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-125m | null | [
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] | TAGS
#transformers #safetensors #opt #text-generation #text-generation-inference #en #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-125m model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-125m
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on ... | [
"# Model Card for OPT Spell Generation",
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text-generation | transformers | # [MaziyarPanahi/Experiment24Shadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment24Shadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment24Shadow-7B](https://huggingface.co/automerger/Experiment24Shadow-7B)
## Description
[MaziyarPanahi/Expe... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:CorticalStack/shadow-clown-7B-slerp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "te... | MaziyarPanahi/Experiment24Shadow-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment24Shadow-7B
## Description
MaziyarPanahi/Experiment24Shadow-7B-GGUF contains GGUF format model files for automerger/Experiment24Shadow-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on h... | [
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-350m** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-350m](https://huggingface.co/facebook/o... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-350m | null | [
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# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-350m model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-350m
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
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null | transformers |
# Uploaded model
- **Developed by:** azhardhiaulhaq229
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | azhardhiaulhaq229/safety-model-v0.1 | null | [
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|
# Uploaded model
- Developed by: azhardhiaulhaq229
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
Base model is llama-7b-chat model
1. Pruned by wanda
code: https://github.com/locuslab/wanda
Sparsity_type is "unst... | {"library_name": "transformers", "tags": []} | Fighoture/Llama-2-7b-chat-wanda-gptq | null | [
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-1.3b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-1.3b](https://huggingface.co/facebook/o... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-1.3b | null | [
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# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-1.3b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-1.3b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on ... | [
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text-generation | transformers |
# What is this
My experiment. Continuation of [Benchmaxxxer series](https://huggingface.co/ChuckMcSneed/BenchmaxxxerPS-v1-123b) (meme models), but a bit more serious. Performs high on my benchmark and on huggingface benchmark, moderately-high in practice. Worth trying? Yeah. It is on the **goode... | {"license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"]} | ChuckMcSneed/ArcaneEntanglement-model64-70b | null | [
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| !URL
What is this
============
My experiment. Continuation of Benchmaxxxer series (meme models), but a bit more serious. Performs high on my benchmark and on huggingface benchmark, moderately-high in practice. Worth trying? Yeah. It is on the gooder side.
Observations
============
* GPTslop: medium-low. Avoid a... | [
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* WinterGoddess\n* WizardLM\n* Spicyboros\n* Euryale\n* Xwin\n* Dolphin",
"### Configuration\n\n\nThe following YAML configuration was used to produce this model:\n\n\nBenchmarks\n==========",
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null | null |
Testing for the icl models | {"license": "mit"} | VatsaDev/Mem-model | null | [
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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 Tiny GA-EN Speech Translation v.1.4
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/o... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny GA-EN Speech Translation v.1.4", "results": []}... | ymoslem/whisper-tiny-ga2en-v1.4 | null | [
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| Whisper Tiny GA-EN Speech Translation v.1.4
===========================================
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
The best model (this version) is at checkpoint 500, epoch 7.35, and it achieves the following results on the evaluation set:
* Loss: 2.5784
* Bleu:... | [
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-2.7b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-2.7b](https://huggingface.co/facebook/o... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-2.7b | null | [
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"en"
] | TAGS
#transformers #safetensors #opt #text-generation #text-generation-inference #en #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-2.7b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-2.7b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on ... | [
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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. -->
# ft-poc
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "ft-poc", "results": []}]} | Farisya/ft-poc | null | [
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| ft-poc
======
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5077
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | sherrysi/Mistrel7B_QLORA_v10k_256_01 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
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### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Akhil9514/Fine_Tune_T5_Model_News_Summarization
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on a... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "Akhil9514/Fine_Tune_T5_Model_News_Summarization", "results": []}]} | Akhil9514/Fine_Tune_T5_Model_News_Summarization | null | [
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"license:apache-2.0",
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"endpoints_compatible",
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#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Akhil9514/Fine\_Tune\_T5\_Model\_News\_Summarization
====================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.6688
* Validation Loss: 1.4383
* Train Lr: 2e-05
* Epoch: 0
Model... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_dumbo1 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T02:28:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #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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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Yi-6B-finetuned-50steps
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on an unknown da... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "01-ai/Yi-6B", "model-index": [{"name": "Yi-6B-finetuned-50steps", "results": []}]} | youngwook-kim/Yi-6B-finetuned-50steps | null | [
"generated_from_trainer",
"base_model:01-ai/Yi-6B",
"license:other",
"region:us"
] | null | 2024-04-01T02:34:50+00:00 | [] | [] | TAGS
#generated_from_trainer #base_model-01-ai/Yi-6B #license-other #region-us
|
# Yi-6B-finetuned-50steps
This model is a fine-tuned version of 01-ai/Yi-6B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
"# Yi-6B-finetuned-50steps\n\nThis model is a fine-tuned version of 01-ai/Yi-6B on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"#... | [
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null | null | test | {} | kazna/test-kazna | null | [
"region:us"
] | null | 2024-04-01T02:35:12+00:00 | [] | [] | TAGS
#region-us
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | jisukim8873/mistral-7B-alpaca-case-0-2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T02:38:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711939228063x473640276714966800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/eyes"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711939228063x473640276714966800 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:RickGrimes001/eyes",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T02:40:50+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/eyes #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711939228063x473640276714966800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711939228063x473640276714966800\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/eyes #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1711939228063x473640276714966800\nThese are LoRA adaption weights for stabilityai/stable-diffus... | [
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null | transformers | ## About
static quants of https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-v7
<!-- provided-files -->
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 Com... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Gille/StrangeMerges_32-7B-slerp", "mlabonne/AlphaMonarch-7B"], "base_model": "jsfs11/MixtureofMerges-MoE-2x7b-v7", "quantized_by": "mradermacher"} | mradermacher/MixtureofMerges-MoE-2x7b-v7-GGUF | null | [
"transformers",
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"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"Gille/StrangeMerges_32-7B-slerp",
"mlabonne/AlphaMonarch-7B",
"en",
"base_model:jsfs11/MixtureofMerges-MoE-2x7b-v7",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T02:42:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Gille/StrangeMerges_32-7B-slerp #mlabonne/AlphaMonarch-7B #en #base_model-jsfs11/MixtureofMerges-MoE-2x7b-v7 #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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] | [
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] |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711939351206x295997105476954800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["seumadruga/SerjTankian"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1711939351206x295997105476954800 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:seumadruga/SerjTankian",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T02:43:04+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-seumadruga/SerjTankian #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711939351206x295997105476954800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711939351206x295997105476954800\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-seumadruga/SerjTankian #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1711939351206x295997105476954800\nThese are LoRA adaption weights for stabilityai/stable-di... | [
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text-generation | null |
**[2.2bpw](https://huggingface.co/rioshiina/Swallow-70b-NVE-instruct-exl2/tree/2.2bpw)** (high quality loss, only for 24GB vRAM test.)
**[4.0bpw](https://huggingface.co/rioshiina/Swallow-70b-NVE-instruct-exl2/tree/4.0bpw)**
**[6.0bpw](https://huggingface.co/rioshiina/Swallow-70b-NVE-instruct-exl2/tree/6.0bpw)** ... | {"language": ["ja", "en"], "license": "llama2", "base_model": "tokyotech-llm/Swallow-70b-NVE-instruct-hf", "pipeline_tag": "text-generation"} | RioShiina/Swallow-70b-NVE-instruct-exl2 | null | [
"text-generation",
"ja",
"en",
"base_model:tokyotech-llm/Swallow-70b-NVE-instruct-hf",
"license:llama2",
"region:us"
] | null | 2024-04-01T02:43:30+00:00 | [] | [
"ja",
"en"
] | TAGS
#text-generation #ja #en #base_model-tokyotech-llm/Swallow-70b-NVE-instruct-hf #license-llama2 #region-us
|
2.2bpw (high quality loss, only for 24GB vRAM test.)
4.0bpw
6.0bpw
8.0bpw
# Swallow-70b-NVE-instruct-exl2
- Model creator: tokyotech-llm
- Original model: Swallow-70b-NVE-instruct-hf
## Prompt template
### Licence
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. ... | [
"# Swallow-70b-NVE-instruct-exl2\n- Model creator: tokyotech-llm\n- Original model: Swallow-70b-NVE-instruct-hf",
"## Prompt template",
"### Licence\n\nLlama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved."
] | [
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"# Swallow-70b-NVE-instruct-exl2\n- Model creator: tokyotech-llm\n- Original model: Swallow-70b-NVE-instruct-hf",
"## Prompt template",
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-6.7b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-6.7b](https://huggingface.co/facebook/o... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-6.7b | null | [
"transformers",
"safetensors",
"opt",
"text-generation",
"text-generation-inference",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T02:43:43+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #opt #text-generation #text-generation-inference #en #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-6.7b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-6.7b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on ... | [
"# Model Card for OPT Spell Generation",
"### Model Description\n\n\n\nThis model is a fine-tuned opt-6.7b model for the generation of *D&D 5th edition spells*\n\n- Language(s) (NLP): English\n- Finetuned from model: opt-6.7b\n- Dataset used for fine-tuning: m-elio/spell_generation",
"## Prompt Format\n\nThis p... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v25 | null | [
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"1910.09700"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v2
This model is a fine-tuned version of [allistair99/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["srh_test66"], "base_model": "allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1", "model-index": [{"name": "distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v2", "results": []}]} | allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v2 | null | [
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"license:apache-2.0",
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|
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v2
This model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on the srh_test66 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training... | [
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text-generation | transformers | # [MaziyarPanahi/YamMulti_verse_model-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamMulti_verse_model-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamMulti_verse_model-7B](https://huggingface.co/automerger/YamMulti_verse_model-7B)
## Description
[MaziyarPan... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "arxiv:2311.03099", "arxiv:2306.01708", "base_model:mayacinka/yam-jom-7B-slerp", "base_model:ammarali32/multi_verse_model", "autotrain_compatible", "endp... | MaziyarPanahi/YamMulti_verse_model-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamMulti_verse_model-7B
## Description
MaziyarPanahi/YamMulti_verse_model-7B-GGUF contains GGUF format model files for automerger/YamMulti_verse_model-7B.
## How to use
Thanks to TheBloke for preparing an amazing REA... | [
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text-to-image | diffusers | # Fabricated Reality - SDXL
This is an realistic SDXL model I have been finetuning, merging, and tweaking since SDXL came out. I have done a ton of target guidance training to fix eyes, teeth, and hands, as well as many other aspects.
I have been planning on releasing it for a long time, but I hate doing all of the ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "pipeline_tag": "text-to-image"} | ostris/fabricated-reality-sdxl | null | [
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#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us
| # Fabricated Reality - SDXL
This is an realistic SDXL model I have been finetuning, merging, and tweaking since SDXL came out. I have done a ton of target guidance training to fix eyes, teeth, and hands, as well as many other aspects.
I have been planning on releasing it for a long time, but I hate doing all of the ... | [
"# Fabricated Reality - SDXL\n\nThis is an realistic SDXL model I have been finetuning, merging, and tweaking since SDXL came out. I have done a ton of target guidance training to fix eyes, teeth, and hands, as well as many other aspects. \n\nI have been planning on releasing it for a long time, but I hate doing al... | [
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text-generation | transformers |
# Model Card for OPT Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **opt-13b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [opt-13b](https://huggingface.co/facebook/opt... | {"language": ["en"], "tags": ["text-generation-inference"]} | m-elio/spell_generation_opt-13b | null | [
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# Model Card for OPT Spell Generation
### Model Description
This model is a fine-tuned opt-13b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: opt-13b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format based on th... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | manbeast3b/misty1 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dyingc/Llama-2-7b-chat-hf-bitsandbytes | 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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text-generation | transformers |
# Model Card for LLaMA 2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **llama-2-7b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [llama-2-7b](https://huggingface.co/me... | {"language": ["en"], "license": "llama2", "tags": ["text-generation-inference"]} | m-elio/spell_generation_llama-2-7b | null | [
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|
# Model Card for LLaMA 2 Spell Generation
### Model Description
This model is a fine-tuned llama-2-7b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: llama-2-7b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format b... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-ecg
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https:... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-ecg", "results": [{"task": {"type": "image-classification", "name": "Image Classifi... | sheetalp91/swin-tiny-patch4-window7-224-finetuned-ecg | null | [
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| swin-tiny-patch4-window7-224-finetuned-ecg
==========================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1797
* Accuracy: 0.9714
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null | # RecDiffusion
Code: [https://github.com/lhaippp/RecDiffusion](https://github.com/lhaippp/RecDiffusion)
| {} | pure01fx/RecDiffusion | null | [
"region:us"
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#region-us
| # RecDiffusion
Code: URL
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Renato0402/whisper-large-v3-tmp | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T02:58:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-invoice-resize_splitbydate_roc_240401
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-invoice-resize_splitbydate_roc_240401", "results": []}]} | yuchiahung/donut-base-invoice-resize_splitbydate_roc_240401 | null | [
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"tensorboard",
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"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T02:59:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-invoice-resize_splitbydate_roc_240401
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
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text-generation | transformers |
# Model Card for LLaMA 2 Spell Generation
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned **llama-2-13b** model for the generation of *D&D 5th edition spells*
- **Language(s) (NLP):** English
- **Finetuned from model:** [llama-2-13b](https://huggingface.co/... | {"language": ["en"], "license": "llama2", "tags": ["text-generation-inference"]} | m-elio/spell_generation_llama2-13b | null | [
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"llama",
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"text-generation-inference",
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"license:llama2",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-01T03:00:50+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #en #license-llama2 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for LLaMA 2 Spell Generation
### Model Description
This model is a fine-tuned llama-2-13b model for the generation of *D&D 5th edition spells*
- Language(s) (NLP): English
- Finetuned from model: llama-2-13b
- Dataset used for fine-tuning: m-elio/spell_generation
## Prompt Format
This prompt format... | [
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"## Prompt Format... | [
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reinforcement-learning | null |
# REINFORCE Agent Playing Pixelcopter-PLE-v0
This is a trained model of a REINFORCE agent playing Pixelcopter-PLE-v0.
# Hyperparameters
hp_seed: 1<br />hp_torch_deterministic: True<br />hp_nb_frames: 8<br />hp_total_timesteps: 1005000<br />hp_learning_t: 500<br />hp_num_envs: 12<br />hp_learning_rate: 0.0001... | {"tags": ["Pixelcopter-PLE-v0", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "SARSA_QLEARNING", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "ty... | Farbum/REINFORCE_Pixelcopter | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-01T03:02:30+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# REINFORCE Agent Playing Pixelcopter-PLE-v0
This is a trained model of a REINFORCE agent playing Pixelcopter-PLE-v0.
# Hyperparameters
hp_seed: 1<br />hp_torch_deterministic: True<br />hp_nb_frames: 8<br />hp_total_timesteps: 1005000<br />hp_learning_t: 500<br />hp_num_envs: 12<br />hp_learning_rate: 0.0001... | [
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reinforcement-learning | stable-baselines3 |
# **basic stable baseline with 1000000 steps** Agent playing **LunarLander-v2**
This is a trained model of a **basic stable baseline with 1000000 steps** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add you... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "basic stable baseline with 1000000 steps", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"nam... | sazbox/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T03:04:19+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# basic stable baseline with 1000000 steps Agent playing LunarLander-v2
This is a trained model of a basic stable baseline with 1000000 steps agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | transformers |
# Merged-Vicuna-RP-Stew-34B
Quantized 4.0 exl2 of the model down below:
https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B?not-for-all-audiences=true
Specialized parquet used:
https://huggingface.co/datasets/ParasiticRogue/Bluemoon-Light?not-for-all-audiences=true
## Merge Details
New pot of stew with ... | {"license": "other", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | ParasiticRogue/Merged-RP-Stew-V2-34B-exl2-4.0 | null | [
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] | null | 2024-04-01T03:07:24+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Merged-Vicuna-RP-Stew-34B
Quantized 4.0 exl2 of the model down below:
URL
Specialized parquet used:
URL
## Merge Details
New pot of stew with some slight seasoning added into the merging recipe. Besides being decent models, Capybara was chosen at a higher percentage for it's general aptitude plus preserving l... | [
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text-to-image | diffusers |
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| {"tags": ["text-to-image", "diffusers", "autotrain"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "new purple style", "inference": true} | Ramansaini/custom_sd | null | [
"diffusers",
"text-to-image",
"autotrain",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T03:09:00+00:00 | [] | [] | TAGS
#diffusers #text-to-image #autotrain #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# DreamBooth trained by AutoTrain
Text encoder was not trained.
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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:
* [luaqi/sn9_win_v4](https://huggingface.co/lu... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["luaqi/sn9_win_v4", "lcz529959/zhun03"]} | lcz529959/zhun04 | null | [
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"safetensors",
"llama",
"text-generation",
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"merge",
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"base_model:lcz529959/zhun03",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T03:14:23+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:
* luaqi/sn9_win_v4
* lcz529959/zhun03
### Configuration
The following YAML config... | [
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text-generation | transformers |
# Eclectic-Maid-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
A reborn Maid model with many models and several merges. Seems to work well with Alpac Roleplay, ChatML, noromaid settings in Silly Tavern
### Merge Meth... | {"library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": []} | ND911/Eclectic-Maid-7B | null | [
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"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
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"conversational",
"arxiv:2311.03099",
"arxiv:2306.01708",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T03:18:45+00:00 | [
"2311.03099",
"2306.01708"
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|
# Eclectic-Maid-7B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
A reborn Maid model with many models and several merges. Seems to work well with Alpac Roleplay, ChatML, noromaid settings in Silly Tavern
### Merge Method
This model was merged using the DARE TIE... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-invoice-resize_date_part_roc_240401
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-invoice-resize_date_part_roc_240401", "results": []}]} | yuchiahung/donut-base-invoice-resize_date_part_roc_240401 | null | [
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"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:19:09+00:00 | [] | [] | TAGS
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|
# donut-base-invoice-resize_date_part_roc_240401
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_dumbo2 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:21:01+00:00 | [
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
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## Model Details
### Model Description
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Ogno-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Ogno-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Ogno-7B](https://huggingface.co/automerger/Strangemerges_32Ogno-7B)
## Description
[MaziyarPan... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "arxiv:2311.03099", "arxiv:2306.01708", "base_model:eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2", "base_model:Gille/StrangeMerges_32-7B-slerp", "... | MaziyarPanahi/Strangemerges_32Ogno-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Ogno-7B
## Description
MaziyarPanahi/Strangemerges_32Ogno-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Ogno-7B.
## How to use
Thanks to TheBloke for preparing an amazing REA... | [
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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": "google/flan-t5-xl"} | HeydarS/flan-t5-xl_peft_v7 | null | [
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### Model Description
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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:
* [luaqi/sn9_win_v4](https://huggingface.co/lu... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["luaqi/sn9_win_v4", "lcz529959/zhun03"]} | lcz529959/zhun05 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* luaqi/sn9_win_v4
* lcz529959/zhun03
### Configuration
The following YAML config... | [
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text-generation | transformers | # Model Card
(image by https://huggingface.co/Kronikus)
### Model Description
TinyLlama 1.1B fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonatio... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "model_name": "tinyllama-1.1b-layla-v4", "model_creator": "l3utterfly", "model_type": "llama2", "pipeline_tag": "text-generation"} | l3utterfly/tinyllama-1.1b-layla-v4 | null | [
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| # Model Card
!image/png
(image by URL
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711942427826x200581899791684830
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Shortyzzzz/Dexterteste"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711942427826x200581899791684830 | null | [
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|
# LoRA DreamBooth - squaadinc/1711942427826x200581899791684830
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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null | transformers | ## About
static quants of https://huggingface.co/nachoaristimuno/MistralMath-7B-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Co... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardMath-7B-V1.1", "meta-math/MetaMath-Mistral-7B"], "base_model": "nachoaristimuno/MistralMath-7B-v0.1", "quantized_by": "mradermacher"} | mradermacher/MistralMath-7B-v0.1-GGUF | null | [
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"en",
"base_model:nachoaristimuno/MistralMath-7B-v0.1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:34:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #WizardLM/WizardMath-7B-V1.1 #meta-math/MetaMath-Mistral-7B #en #base_model-nachoaristimuno/MistralMath-7B-v0.1 #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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] |
null | null |
# MixtureofMerges-MoE-2x7bRP-v8
MixtureofMerges-MoE-2x7bRP-v8 is a Roleplay Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [ChaoticNeutrals/RP_Vision_7B](https://huggingface.co/ChaoticNeutrals/RP_V... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "ChaoticNeutrals/RP_Vision_7B", "ResplendentAI/DaturaCookie_7B", "not-for-all-audiences"], "base_model": ["ChaoticNeutrals/RP_Vision_7B", "ResplendentAI/DaturaCookie_7B"], "model-index": [{"name": "MixtureofMerges-MoE-2x7bRP-v8... | jsfs11/MixtureofMerges-MoE-2x7bRP-v8-GGUF | null | [
"gguf",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"ChaoticNeutrals/RP_Vision_7B",
"ResplendentAI/DaturaCookie_7B",
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"base_model:ChaoticNeutrals/RP_Vision_7B",
"base_model:ResplendentAI/DaturaCookie_7B",
"license:apache-2.0",
"model-index",
"region:us... | null | 2024-04-01T03:40:43+00:00 | [] | [] | TAGS
#gguf #moe #frankenmoe #merge #mergekit #lazymergekit #ChaoticNeutrals/RP_Vision_7B #ResplendentAI/DaturaCookie_7B #not-for-all-audiences #base_model-ChaoticNeutrals/RP_Vision_7B #base_model-ResplendentAI/DaturaCookie_7B #license-apache-2.0 #model-index #region-us
| MixtureofMerges-MoE-2x7bRP-v8
=============================
MixtureofMerges-MoE-2x7bRP-v8 is a Roleplay Mixture of Experts (MoE) made with the following models using LazyMergekit:
* ChaoticNeutrals/RP\_Vision\_7B
* ResplendentAI/DaturaCookie\_7B
* This model is prone to NSFW outputs.
* Static GGUF quants made with ... | [] | [
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] |
null | null | GGUF + quants for: https://huggingface.co/l3utterfly/tinyllama-1.1b-layla-v4 | {"license": "apache-2.0"} | l3utterfly/tinyllama-1.1b-layla-v4-gguf | null | [
"gguf",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T03:40:59+00:00 | [] | [] | TAGS
#gguf #license-apache-2.0 #region-us
| GGUF + quants for: URL | [] | [
"TAGS\n#gguf #license-apache-2.0 #region-us \n"
] | [
17
] | [
"TAGS\n#gguf #license-apache-2.0 #region-us \n"
] |
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. -->
# gpt-neo-125m-cs-finetuning-50000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-50000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-50000-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:43:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gpt-neo-125m-cs-finetuning-50000-1
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2367
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
# Model Trained Using AutoTrain
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the [mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations) dataset.
# Usage
```pyt... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft", "generated_from_trainer", "mistral", "transformers", "Inference Endpoints", "pytorch"], "datasets": ["Amod/mental_health_counseling_conversations"], "base_model": "mistralai/Mistral-7B... | prabureddy/Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2 | null | [
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"pytorch",
"conversational",
"dataset:Amod/mental_health_counseling_conversations",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",... | null | 2024-04-01T03:44:12+00:00 | [] | [] | TAGS
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# Model Trained Using AutoTrain
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the mental_health_counseling_conversations dataset.
# Usage
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sentence-similarity | sentence-transformers |
# Nghiamc02/bge-m3-10k-msmarco-vi
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mode... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Nghiamc02/bge-m3-10k-msmarco-vi | null | [
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"safetensors",
"xlm-roberta",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:45:12+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# Nghiamc02/bge-m3-10k-msmarco-vi
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installe... | [
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"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformer... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-face-emotion-v12_right
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-face-emotion-v12_right", "results": [{"task": {"type": "image-classification", "nam... | MahmoudWSegni/swin-tiny-patch4-window7-224-finetuned-face-emotion-v12_right | null | [
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"license:apache-2.0",
"model-index",
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| swin-tiny-patch4-window7-224-finetuned-face-emotion-v12\_right
==============================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1158
* Accuracy: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# distilbert-base-uncased-finetuned-SA
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-SA", "results": []}]} | datht/distilbert-base-uncased-finetuned-SA | null | [
"transformers",
"tensorboard",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T03:49:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-SA
====================================
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: 0.4454
* Accuracy: 0.7877
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# Join My General AI Discord (NeuroLattice):
https://discord.gg/Hz6GrwGFKD
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
A... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | migtissera/Tess-2.0-Yi-34B-200K | null | [
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"text-generation",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T03:54:39+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Join My General AI Discord (NeuroLattice):
URL
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use... | [
"# Join My General AI Discord (NeuroLattice):\nURL",
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hs2496/mistralai-EnLoRA-Instruct-Finetune-test | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-01T04:04:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # [MaziyarPanahi/Multi_verse_modelM7-7B-GGUF](https://huggingface.co/MaziyarPanahi/Multi_verse_modelM7-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Multi_verse_modelM7-7B](https://huggingface.co/automerger/Multi_verse_modelM7-7B)
## Description
[MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "conversational", "arxiv:2311.03099", "arxiv:2306.01708", "base_model:liminerity/M7-7b", "base_model:ammarali32/multi_verse_model", "autotrain_compatible... | MaziyarPanahi/Multi_verse_modelM7-7B-GGUF | null | [
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"base_model:ammarali32/m... | null | 2024-04-01T04:05:29+00:00 | [
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- Model creator: automerger
- Original model: automerger/Multi_verse_modelM7-7B
## Description
MaziyarPanahi/Multi_verse_modelM7-7B-GGUF contains GGUF format model files for automerger/Multi_verse_modelM7-7B.
## How to use
Thanks to TheBloke for preparing an amazing README ... | [
"# MaziyarPanahi/Multi_verse_modelM7-7B-GGUF\n- Model creator: automerger\n- Original model: automerger/Multi_verse_modelM7-7B",
"## Description\nMaziyarPanahi/Multi_verse_modelM7-7B-GGUF contains GGUF format model files for automerger/Multi_verse_modelM7-7B.",
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en", "ja"], "license": "wtfpl", "library_name": "transformers", "datasets": ["wikimedia/wikipedia"]} | yuiseki/YuisekinAI-mistral-0.7B | 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 |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | wenbopan/Faro-Yi-34B | null | [
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|
!image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
# Faro-Yi-34B
Faro-... | [
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text-generation | transformers |
# Go-Gourmet Fine-Tuned Mistral 7B Model
<img src="https://cdn-uploads.huggingface.co/production/uploads/6564e76de6b20bc37e494589/e7-63vc6Rxq6HAMmHXZ5p.png" width="600" alt="Go-Gourmet">
## Overview
The Go-Gourmet model is a fine-tuned version of the `mistralai/Mistral-7B-Instruct-v0.2` base model with 32k context w... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["Sadiah/Go-Gourmet"]} | Sadiah/Go-Gourmet | null | [
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|
# Go-Gourmet Fine-Tuned Mistral 7B Model
<img src="URL width="600" alt="Go-Gourmet">
## Overview
The Go-Gourmet model is a fine-tuned version of the 'mistralai/Mistral-7B-Instruct-v0.2' base model with 32k context window, specifically trained to generate structured restaurant cards based on an input of a restaurant ... | [
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sentence-similarity | sentence-transformers |
# Nghiamc02/bge-m3-10k-1-msmarco-vi
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mo... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Nghiamc02/bge-m3-10k-1-msmarco-vi | null | [
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|
# Nghiamc02/bge-m3-10k-1-msmarco-vi
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers instal... | [
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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 π€ transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec-mistral-2-7b-25 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wiki_asp-soccer_player_9240_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-soccer_player_9240_bart-base", "results": []}]} | baek26/wiki_asp-soccer_player_9240_bart-base | null | [
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| wiki\_asp-soccer\_player\_9240\_bart-base
=========================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2561
* Rouge1: 0.0369
* Rouge2: 0.0124
* Rougel: 0.0314
* Rougelsum: 0.0316
* Gen Len... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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