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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. -->
# tmp_trainer
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the g... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "tmp_trainer", "results": []}]} | Kelechie/Bevo-Budv1.0 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-distilbert/distilgpt2 #license-apache-2.0 #region-us
|
# tmp_trainer
This model is a fine-tuned version of distilbert/distilgpt2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | IbrahimSalah/Quran_syll_to_word3 | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/sc14 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-160m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-160m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-4 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TitanML/LeoLM-hessianai-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "datasets": ["oscar-corpus/OSCAR-2301", "wikipedia", "bjoernp/tagesschau-2018-2023"], "base_model": "TitanML/LeoLM-hessianai-13b", "quantized_by": "mradermacher"} | mradermacher/LeoLM-hessianai-13b-GGUF | null | [
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"endpoints_compatible",
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Knight-Miqu-70B-MoE
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Knight-Miqu-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "NotAiLOL/Knight-Miqu-70B-MoE", "quantized_by": "mradermacher"} | mradermacher/Knight-Miqu-70B-MoE-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-NotAiLOL/Knight-Miqu-70B-MoE #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# flan-t5-base-merged
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-merged", "results": []}]} | tanishq1420/flan-t5-base-merged | null | [
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"region:us"
] | null | 2024-04-24T23:24:44+00:00 | [] | [] | TAGS
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| flan-t5-base-merged
===================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9282
* Rouge1: 0.4675
* Rouge2: 0.1579
* Rougel: 0.4313
* Bertscore: 0.8652
* Readability: 13.1666
Model description
---------... | [
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text-generation | transformers |
# WikiChat-v0.2
Training in progress model to have conversations.
The GGUFs uploaded are full FP32 precision.
Using OpenOrca GPT-4 data + cosmopedia for some extra data + dolly15k for instruct
## Model Details:
- 83.59M parameters (83591800)
- 8 attention heads
- 40 layers
- 384 embeddings size
- 4096/8192/16384 co... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["HuggingFaceTB/cosmopedia", "databricks/databricks-dolly-15k", "Open-Orca/OpenOrca"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | leafspark/wikichat-v2 | null | [
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|
# WikiChat-v0.2
Training in progress model to have conversations.
The GGUFs uploaded are full FP32 precision.
Using OpenOrca GPT-4 data + cosmopedia for some extra data + dolly15k for instruct
## Model Details:
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- 8 attention heads
- 40 layers
- 384 embeddings size
- 4096/8192/16384 co... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sophiex/pythia-410m-sft_hh_rlhf | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T23:25:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# test_trainer
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "test_trainer", "results": []}]} | tarunabraham1986/test_trainer | null | [
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| test\_trainer
=============
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4837
* Accuracy: 0.8382
* F1: 0.8866
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** moriire
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | moriire/healthcare-ai-adapter-merged_16bit | null | [
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|
# Uploaded model
- Developed by: moriire
- License: apache-2.0
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<img src="URL width="200"/>
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# squence_classification_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unk... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "squence_classification_model", "results": []}]} | Ponyyyy/squence_classification_model | null | [
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| squence\_classification\_model
==============================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1988
* Accuracy: 0.9516
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "google/bigbird-roberta-base", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | tristayqc/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of google/bigbird-roberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0044
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs128_nodpo_iter_2", "results": []}]} | ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_2 | null | [
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# 0.001_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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null | null | # Legacy | {} | MLP-Lemma/Lemma-pt-stage2-3500step | null | [
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text-generation | transformers | Fintuned the phi3-4k-instruct with own organization dataset.
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) | {} | sosoai/hansoldeco-phi3-4k-instruct-v0.1 | null | [
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| Fintuned the phi3-4k-instruct with own organization dataset.
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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-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | joacorf33/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2248
* Accuracy: 0.9235
* F1: 0.9234
Model description
-----------------
Mo... | [
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null | transformers |
# Uploaded model
- **Developed by:** moriire
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | moriire/healthcare-ai-q8_0 | null | [
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- License: apache-2.0
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text-to-image | diffusers |
This is the single file [`furry-xl-4.0.safetensors`](https://huggingface.co/SeaArtLab/SeaArt-Furry-XL-1.0) [converted](https://github.com/Linaqruf/sdxl-model-converter/) to diffusers format. A wolf asked for it. If you're not a wolf you might still want this because the original version is fp32 while this one is fp16.... | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion", "safetensors", "stable-diffusion-xl"]} | Gaeros/SeaArt-Furry-XL-1.0-fp16-diffusers | null | [
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SeaArt Furry XL 1.0
===================
!... | [
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [ResplendentAI/Kei_Llama3_8B](https://huggingface.co/ResplendentAI/K... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B", "vicgalle/Roleplay-Llama-3-8B", "cgato/L3-TheSpice-8b-v0.1.3", "ResplendentAI/Kei_Llama3_8B"]} | jeiku/Average_Normie_v2_l3_8B | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using ResplendentAI/Kei_Llama3_8B as a base.
### Models Merged
The following models were included in the merge:
* ChaoticNeutrals/Poppy_Porpoise-... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/FelixChao/Llama-3-Petro-Instruct-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "FelixChao/Llama-3-Petro-Instruct-v1", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Petro-Instruct-v1-GGUF | null | [
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"region:us"
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] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers |
# Uploaded model
- **Developed by:** moriire
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | moriire/healthcare-ai-q16 | null | [
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|
# Uploaded model
- Developed by: moriire
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.6_Seed103 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
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- Paper [optional]:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.6_Seed103 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results-Meta-Llama-3-8B-tagllm-pos-1-fixed-embed
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://hugg... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results-Meta-Llama-3-8B-tagllm-pos-1-fixed-embed", "results": []}]} | AlienKevin/Meta-Llama-3-8B-tagllm-pos-1-fixed-embed | null | [
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| results-Meta-Llama-3-8B-tagllm-pos-1-fixed-embed
================================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4953
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [jeiku/Average_Normie_v2_l3_8B](https://huggingface.co/jeiku/Average... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["jeiku/Average_Normie_v2_l3_8B", "jeiku/Average_Normie_v2_l3_8B", "ResplendentAI/Aura_Llama3", "jeiku/Average_Normie_v2_l3_8B", "ResplendentAI/Smarts_Llama3", "jeiku/Average_Normie_v2_l3_8B", "ResplendentAI/BlueMoon_Llama3"]} | jeiku/Average_Test | null | [
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"aut... | null | 2024-04-24T23:46:25+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using jeiku/Average_Normie_v2_l3_8B as a base.
### Models Merged
The following models were included in the merge:
* jeiku/Average_Normie_v2_l3_8B... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EdBerg/quotes_Meta-Llama-3-8B-Instruct | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/booksum_STEP0000500 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-410m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-0 | null | [
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"safetensors",
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|
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
"# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-0\n\nThis model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
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null | transformers |
# Uploaded model
- **Developed by:** moriire
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | moriire/healthcare-ai-q4_k_m | null | [
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"unsloth",
"en",
"base_model:unsloth/tinyllama-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T23:49:31+00:00 | [] | [
"en"
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#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/tinyllama-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: moriire
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: moriire\n- License: apache-2.0\n- Finetuned from model : unsloth/tinyllama-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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null | mlx |
# 3thn/dolphin-2.9-llama3-70b-2bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | 3thn/dolphin-2.9-llama3-70b-2bit | null | [
"mlx",
"safetensors",
"llama",
"en",
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-24T23:53:37+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word-... |
# 3thn/dolphin-2.9-llama3-70b-2bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | rahil1206/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-24T23:54:19+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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null | mlx |
# 3thn/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | 3thn/dolphin-2.9-llama3-70b-4bit | null | [
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"safetensors",
"llama",
"en",
"dataset:cognitivecomputations/Dolphin-2.9",
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-24T23:55:27+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word-... |
# 3thn/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"## Use with mlx"
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image-classification | transformers | Model Name: Nike Shoes Recognizer
Original Model: Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224.
It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in t... | {} | HZhang729/nike_image_classification | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T23:55:56+00:00 | [] | [] | TAGS
#transformers #safetensors #vit #image-classification #autotrain_compatible #endpoints_compatible #region-us
| Model Name: Nike Shoes Recognizer
Original Model: Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224.
It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in t... | [] | [
"TAGS\n#transformers #safetensors #vit #image-classification #autotrain_compatible #endpoints_compatible #region-us \n"
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dev7halo/korho-math-7b-v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "dev7halo/korho-math-7b-v0.2", "quantized_by": "mradermacher"} | mradermacher/korho-math-7b-v0.2-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:dev7halo/korho-math-7b-v0.2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T23:57:48+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-dev7halo/korho-math-7b-v0.2 #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. -->
# bert-base-cased-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-finetuned-ner", "results": []}]} | Khetnhio/bert-base-cased-finetuned-ner | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T23:57:51+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-cased-finetuned-ner
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2990
- Precision: 0.9382
- Recall: 0.9341
- F1: 0.9361
- Accuracy: 0.9311
## Model description
More information needed
## Intended uses &... | [
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"## Model description\n\nMore information needed",
... | [
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null | mlx |
# 3thn/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | 3thn/dolphin-2.9-llama3-70b-8bit | null | [
"mlx",
"safetensors",
"llama",
"en",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-24T23:59:16+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word-... |
# 3thn/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [jeiku/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["jeiku/Average_Test", "ResplendentAI/Aura_Llama3"]} | jeiku/Average_Test_v1 | null | [
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"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2203.05482",
"base_model:jeiku/Average_Test",
"base_model:ResplendentAI/Aura_Llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T23:59:56+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #arxiv-2203.05482 #base_model-jeiku/Average_Test #base_model-ResplendentAI/Aura_Llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* jeiku/Average_Test + ResplendentAI/Aura_Llama3
### Configuration
The following... | [
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"###... | [
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null | transformers | # Legacy | {} | MLP-Lemma/Lemma-Encoder-pt-stage2-3500step | null | [
"transformers",
"safetensors",
"mpnet",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T00:00:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mpnet #endpoints_compatible #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 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Fighoture/Llama-2-7b-chat-shortgpt-40-percent-lora | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/newsqa_STEP0000500-4-24 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"### 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)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | # SOVL
I'm not gonna tell you this is the best model anyone has ever made. I'm not going to tell you that you will love chatting with SOVL.
What I am gonna say is thank you for taking the time out o... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["jeiku/Average_Test_v1", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | ResplendentAI/SOVL_Llama3_8B | null | [
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"base_model:jeiku/Average_Test_v1",
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"text-generation-inference",
"region:us"
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"en"
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#transformers #safetensors #llama #text-generation #conversational #en #base_model-jeiku/Average_Test_v1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SOVL
!image/png
I'm not gonna tell you this is the best model anyone has ever made. I'm not going to tell you that you will love chatting with SOVL.
What I am gonna say is thank you for taking the time out of your day. Without users like you, my work would be meaningless. | [
"# SOVL\n\n!image/png\n\nI'm not gonna tell you this is the best model anyone has ever made. I'm not going to tell you that you will love chatting with SOVL.\n\nWhat I am gonna say is thank you for taking the time out of your day. Without users like you, my work would be meaningless."
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #en #base_model-jeiku/Average_Test_v1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | mlx |
# crusoeai/dolphin-2.9-llama3-70b-2bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | crusoeai/dolphin-2.9-llama3-70b-2bit | null | [
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-25T00:06:40+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word-... |
# crusoeai/dolphin-2.9-llama3-70b-2bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/newsqa_STEP0001000-4-24 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:07:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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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null | mlx |
# crusoeai/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | crusoeai/dolphin-2.9-llama3-70b-4bit | null | [
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"safetensors",
"llama",
"en",
"dataset:cognitivecomputations/Dolphin-2.9",
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-25T00:08:46+00:00 | [] | [
"en"
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# crusoeai/dolphin-2.9-llama3-70b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | null |
# miloradg/base-7b-v0.2-Q8_0-GGUF
This model was converted to GGUF format from [`internistai/base-7b-v0.2`](https://huggingface.co/internistai/base-7b-v0.2) using llama.cpp.
Refer to the [original model card](https://huggingface.co/internistai/base-7b-v0.2) for more details on the model.
## Use with llama.cpp
Install... | {"language": ["en"], "license": "apache-2.0", "tags": ["medical", "llama-cpp"], "datasets": ["Open-Orca/OpenOrca", "pubmed", "medmcqa", "maximegmd/medqa_alpaca_format"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "tag": "text-generation"} | miloradg/base-7b-v0.2-Q8_0-GGUF | null | [
"gguf",
"medical",
"llama-cpp",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:pubmed",
"dataset:medmcqa",
"dataset:maximegmd/medqa_alpaca_format",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T00:09:17+00:00 | [] | [
"en"
] | TAGS
#gguf #medical #llama-cpp #en #dataset-Open-Orca/OpenOrca #dataset-pubmed #dataset-medmcqa #dataset-maximegmd/medqa_alpaca_format #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# miloradg/base-7b-v0.2-Q8_0-GGUF
This model was converted to GGUF format from 'internistai/base-7b-v0.2' using URL.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also use this checkpoint ... | [
"# miloradg/base-7b-v0.2-Q8_0-GGUF\nThis model was converted to GGUF format from 'internistai/base-7b-v0.2' using URL.\nRefer to the original model card for more details on the model.",
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text-generation | null |
# DavidAU/Meta-Llama-3-8B-Instruct-Q8_0-GGUF
This model was converted to GGUF format from [`kuotient/Meta-Llama-3-8B-Instruct`](https://huggingface.co/kuotient/Meta-Llama-3-8B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | DavidAU/Meta-Llama-3-8B-Instruct-Q8_0-GGUF | null | [
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"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-25T00:10:54+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us
|
# DavidAU/Meta-Llama-3-8B-Instruct-Q8_0-GGUF
This model was converted to GGUF format from 'kuotient/Meta-Llama-3-8B-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# DavidAU/Meta-Llama-3-8B-Instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'kuotient/Meta-Llama-3-8B-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us \n# DavidAU/Meta-Llama-3-8B-Instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'kuotient/Meta-Llama-3-8B-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the ori... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/6-219 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T00:12:30+00:00 | [
"1910.09700"
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#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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"### 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 | ### withoutweights Dreambooth model trained by patelnaman44 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fa... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | patelnaman44/withoutweights | null | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-25T00:15:34+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### withoutweights Dreambooth model trained by patelnaman44 with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
"### withoutweights Dreambooth model trained by patelnaman44 with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast-Colab-A1111\n\nSample pictures of this concept:"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-132_WordLength_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-132_WordLength_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-132_WordLength_n-its-10 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:16:10+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-132_WordLength_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# robust_llm_pythia-160m_mz-132_WordLength_n-its-10\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | stuvx/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T00:18:58+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SamaahKhan/Mistral-before-fine-tuning | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T00:23:01+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.6_Seed104 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-25T00:23:07+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.6_Seed104 | null | [
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"arxiv:1910.09700",
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] | null | 2024-04-25T00:23:10+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_3iters_bs256_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2", "model-index": [{"name": "0.001_ablation_3iters_bs256_nodpo_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
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"base_model:ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2",
"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-25T00:25:44+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_3iters_bs256_nodpo_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.001_ablation_3iters_bs256_nodpo_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and eva... | [
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text-generation | transformers |
#### Maverick Llama 3 8b 🏴☠️
model is using ChatML prompt template format.
example:
```
<|im_start|>system
You are Maverick, a helpful AI assistant.<|im_end|>
<|im_start|>user
{... | {"license": "apache-2.0", "tags": ["meta-llama/Meta-Llama-3-8B"], "datasets": ["feeltheAGI/maverick-sharegpt"]} | feeltheAGI/maverick-llama3-8B | null | [
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"safetensors",
"llama",
"text-generation",
"meta-llama/Meta-Llama-3-8B",
"conversational",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:27:47+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #meta-llama/Meta-Llama-3-8B #conversational #dataset-feeltheAGI/maverick-sharegpt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| #### Maverick Llama 3 8b ️
!URL
model is using ChatML prompt template format.
example:
Evaluation
eq-bench
--------
winogrande
----------
gsm8k
-----
mathqa
------
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
| [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-160m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-1 | null | [
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"safetensors",
"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:29:46+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-160m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-2 | null | [
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"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:31:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["validation_1", "validation_2", "validation_3", "validation_4", "validation_5", "validation_6", "validation_7", "validation_8"]} | HamAndCheese82/math-ocr-donut-v2.1 | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eunyounglee/yi-200k-kor-instruction-tuning | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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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. -->
# my_awesome_model
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-rober... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "my_awesome_model", "results": []}]} | liamvbetts/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2272
* Accuracy: 0.9385
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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null | transformers |
# jeiku/SOVL_Llama3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`ResplendentAI/SOVL_Llama3_8B`](https://huggingface.co/ResplendentAI/SOVL_Llama3_8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://h... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": ["jeiku/Average_Test_v1", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | jeiku/SOVL_Llama3_8B-Q4_K_M-GGUF | null | [
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|
# jeiku/SOVL_Llama3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'ResplendentAI/SOVL_Llama3_8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
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text-to-image | diffusers | # Genshin Impact - Sigewinne
<Gallery />
## Model description
Sigewinne From Genshin Impact!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
D... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "score_9, score_8_up, score_7_up, uncensored, source_anime, 1girl, <lora:spgiSigewinneXLPony:1> sigewinnedef, rabbit ears, rabbit tail, nurse cap, dress, red bow, apron, long sleeves, white ... | Shalie/GenshinImpactSigewinne | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-AstraliteHeart/pony-diffusion-v6 #license-other #region-us
| # Genshin Impact - Sigewinne
<Gallery />
## Model description
Sigewinne From Genshin Impact!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
D... | [
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null | null | uncc test | {} | krishna4244/uncctest | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-160m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-160m_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DentonK/mistral-Mixtral-8x22B-v0.1-Verilog | null | [
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automatic-speech-recognition | 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. -->
# whisper-medium-anime-5k
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medi... | {"language": ["ja"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["joujiboi/japanese-anime-speech"], "base_model": "openai/whisper-medium", "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "whisper-medium-anime-5k", "results": []}]} | sin2piusc/whisper-medium-anime-5k | null | [
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| whisper-medium-anime-5k
=======================
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2012
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# griffin-v0.01-c3t-8layer-simplewiki-silu
- griffin/recurrent_gemma arch
- claude3 tokenizer (as an HF gpt2 tokenizer)
## Model ... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["pszemraj/simple_wikipedia_LM"], "metrics": ["accuracy"]} | pszemraj/griffin-v0.01-c3t-8layer-simplewiki-silu | null | [
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| griffin-v0.01-c3t-8layer-simplewiki-silu
========================================
* griffin/recurrent\_gemma arch
* claude3 tokenizer (as an HF gpt2 tokenizer)
Model description
-----------------
pretrain experiment on the pszemraj/simple\_wikipedia\_LM dataset.
It achieves the following results on the evaluati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 80085\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.99) and epsi... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... | [
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null | null |
# kat33/Mixtral-8x7B-Instruct-v0.1-Q2_K-GGUF
This model was converted to GGUF format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [orig... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | kat33/Mixtral-8x7B-Instruct-v0.1-Q2_K-GGUF | null | [
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|
# kat33/Mixtral-8x7B-Instruct-v0.1-Q2_K-GGUF
This model was converted to GGUF format from 'mistralai/Mixtral-8x7B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CL... | [
"# kat33/Mixtral-8x7B-Instruct-v0.1-Q2_K-GGUF\nThis model was converted to GGUF format from 'mistralai/Mixtral-8x7B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "this is a story of two misfits who do n't stand a chance alone , but together they... | evertoncherman/setfit-paraphrase-mpnet-base-v2-sst2 | null | [
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"model-index",
"region:us"
] | null | 2024-04-25T00:47:22+00:00 | [
"2209.11055"
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Pap... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_mz-131_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-131_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-131_PasswordMatch | null | [
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"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:47:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-70m_mz-131_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# robust_llm_pythia-70m_mz-131_PasswordMatch\n\nThis model is a fine-tuned version of EleutherAI/pythia-70m 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",
... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | rahil1206/ppo-PyramidsRND | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-25T00:50:38+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n",
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"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-410m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T00:50:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
"# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-350m_ft_test
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## I... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test", "results": []}]} | underactuated/opt-350m_ft_test | null | [
"transformers",
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"text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-25T00:51:19+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# opt-350m_ft_test
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpar... | [
"# opt-350m_ft_test\n\nThis model was trained from scratch 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",
"### Training hyperpara... | [
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image-feature-extraction | timm |
# Model card for gaunernst/convnext_nano.cosface_ms1mv3
ConvNeXt-Nano for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: https://github.com/gau-nernst/timm-face. It is fully compatible with `timm`.
## Usage
```python
import timm
import torch.nn.functional as F
model = timm.crea... | {"library_name": "timm", "tags": ["image-feature-extraction", "timm"], "datasets": ["gaunernst/ms1mv3-recordio"]} | gaunernst/convnext_nano.cosface_ms1mv3 | null | [
"timm",
"safetensors",
"image-feature-extraction",
"dataset:gaunernst/ms1mv3-recordio",
"region:us"
] | null | 2024-04-25T00:54:01+00:00 | [] | [] | TAGS
#timm #safetensors #image-feature-extraction #dataset-gaunernst/ms1mv3-recordio #region-us
|
# Model card for gaunernst/convnext_nano.cosface_ms1mv3
ConvNeXt-Nano for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: URL It is fully compatible with 'timm'.
## Usage
| [
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] |
null | transformers |
# DavidAU/Meta-Llama-3-8B-Instruct-function-calling-json-mode-Q8_0-GGUF
This model was converted to GGUF format from [`hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode`](https://huggingface.co/hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://h... | {"language": ["en"], "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "trl", "llama", "llama-cpp", "gguf-my-repo"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | DavidAU/Meta-Llama-3-8B-Instruct-function-calling-json-mode-Q8_0-GGUF | null | [
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"endpoints_compatible",
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|
# DavidAU/Meta-Llama-3-8B-Instruct-function-calling-json-mode-Q8_0-GGUF
This model was converted to GGUF format from 'hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL throu... | [
"# DavidAU/Meta-Llama-3-8B-Instruct-function-calling-json-mode-Q8_0-GGUF\nThis model was converted to GGUF format from 'hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInst... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | blu666/poca_3_layer_run2 | null | [
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"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-25T00:54:13+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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text-to-image | diffusers | # Vshojo - Matara Kan
<Gallery />
## Model description
Matara Kan From Vshojo!
Trained on 2 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Debut Outfit: `... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "score_9, score_8_up, score_7_up, uncensored, source_anime, 1girl, <lora:spmatarakanXLPony2:1> matarakandef, extra arms, antennae, cleavage, cleavage cutout, white dress, navel, upper body, ... | Shalie/MataraKanPonyXL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:AstraliteHeart/pony-diffusion-v6",
"license:other",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-AstraliteHeart/pony-diffusion-v6 #license-other #region-us
| # Vshojo - Matara Kan
<Gallery />
## Model description
Matara Kan From Vshojo!
Trained on 2 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Debut Outfit: '... | [
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text-generation | transformers |
Distillation version of Llama-3 only for research use.
Training scripts are available [here](https://github.com/KylinC/Llama-3-Distill)!
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_name = "KylinC/Llama-3-74M"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model ... | {"license": "mit"} | KylinC/Llama-3-74M | null | [
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|
Distillation version of Llama-3 only for research use.
Training scripts are available here!
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text-generation | transformers |
# Llama-3-Smaug-8B-GGUF
- This is quantized version of [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B) created using llama.cpp
### Model Description
- **Developed by:** [Abacus.AI](https://abacus.ai)
- **License:** https://llama.meta.com/llama3/license/
- **Finetuned from model:** [m... | {"license": "llama2", "library_name": "transformers", "datasets": ["aqua_rat", "microsoft/orca-math-word-problems-200k", "m-a-p/CodeFeedback-Filtered-Instruction", "anon8231489123/ShareGPT_Vicuna_unfiltered"], "base_model": "abacusai/Llama-3-Smaug-8B", "pipeline_tag": "text-generation"} | QuantFactory/Llama-3-Smaug-8B-GGUF | null | [
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| Llama-3-Smaug-8B-GGUF
=====================
* This is quantized version of abacusai/Llama-3-Smaug-8B created using URL
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: meta-llama/Meta-Llama-3-8B.
### Built with Meta Llama 3
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-410m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-3 | null | [
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"region:us"
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|
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_1", "model-index": [{"name": "0.01_ablation_4iters_bs128_nodpo_iter_2", "results": []}]} | ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_2 | null | [
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# 0.01_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_1", "model-index": [{"name": "0.0_ablation_4iters_bs128_nodpo_iter_2", "results": []}]} | ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_2 | null | [
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# 0.0_ablation_4iters_bs128_nodpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.6_Seed105 | null | [
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# Model Card for Model ID
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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. -->
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- **Shared by [optional]:** [More Information Needed]
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-410m](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-2 | null | [
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"region:us"
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|
# robust_llm_pythia-410m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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image-feature-extraction | timm |
# Model card for gaunernst/vit_tiny_patch8_112.adaface_ms1mv3
A Vision Transformer (ViT) for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: https://github.com/gau-nernst/timm-face. It is fully compatible with `timm`.
## Usage
```python
import timm
import torch.nn.functional as F... | {"library_name": "timm", "tags": ["image-feature-extraction", "timm"], "datasets": ["gaunernst/ms1mv3-recordio"]} | gaunernst/vit_tiny_patch8_112.adaface_ms1mv3 | null | [
"timm",
"safetensors",
"image-feature-extraction",
"dataset:gaunernst/ms1mv3-recordio",
"region:us"
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#timm #safetensors #image-feature-extraction #dataset-gaunernst/ms1mv3-recordio #region-us
|
# Model card for gaunernst/vit_tiny_patch8_112.adaface_ms1mv3
A Vision Transformer (ViT) for face recognition, trained on MS1MV3 dataset. The model was trained using this repo: URL It is fully compatible with 'timm'.
## Usage
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-350m_ft_test1
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test1", "results": []}]} | underactuated/opt-350m_ft_test1 | null | [
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|
# opt-350m_ft_test1
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpa... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_nodp... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_sample2_iter_4", "results": []}]... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_4 | null | [
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... | null | 2024-04-25T01:14:42+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluat... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# controlnet-tempertrash/model_out
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type o... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | tempertrash/model_out | null | [
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|
# controlnet-tempertrash/model_out
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
You can find some example images below.
prompt: a photograph of a woman with a smile on her face
!images_0)
prompt: a picture of the sky with clouds dotted about
!images_1)
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
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#peft #tensorboard #region-us
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_mz-131_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-131_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-131_PasswordMatch | null | [
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|
# robust_llm_pythia-31m_mz-131_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/sc15 | 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-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. -->
# test_trainer
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the fo... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "test_trainer", "results": []}]} | dhrubochowdhury5758778/test_trainer | null | [
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# test_trainer
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6019
- Accuracy: 0.4
## Model description
More information needed
## Intended uses & limitations
More 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 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jmodel/llama-guard-7b-chinese-delta | null | [
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null | transformers | ## About
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<!-- ### vocab_type: -->
static quants of https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/mi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["teknium/OpenHermes-2.5"], "base_model": "fireworks-ai/mixtral-8x22b-instruct-oh", "quantized_by": "mradermacher"} | mradermacher/mixtral-8x22b-instruct-oh-GGUF | null | [
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static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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text-generation | null |
## Model Summary
The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.
This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties.
The model belong... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "gguf"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "library": "llama.cpp", "library_link": "https://github.com/ggerganov/llama.cpp", "base_model": ["microsoft/Phi-3-mini-128k-instruct"], "pipeline_tag"... | teleprint-me/phi-3-mini-128k-instruct | null | [
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text-classification | setfit |
# SetFit with FacebookAI/roberta-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) as the Sentence Transformer embedding model. A [LogisticRegression](https:... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-large", "widget": [{"text": "Just checking in, how have you been feeling since our last chat?"}, {"text": "I\u2019m looking forward t... | richie-ghost/setfit-FacebookAI-roberta-large-phatic | null | [
"setfit",
"safetensors",
"roberta",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:FacebookAI/roberta-large",
"model-index",
"region:us"
] | null | 2024-04-25T01:25:50+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-FacebookAI/roberta-large #model-index #region-us
| SetFit with FacebookAI/roberta-large
====================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses FacebookAI/roberta-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: FacebookAI/roberta-large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Few-Shot... | [
"TAGS\n#setfit #safetensors #roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-FacebookAI/roberta-large #model-index #region-us \n",
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: FacebookAI/roberta-large\n* Classificat... | [
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"TAGS\n#setfit #safetensors #roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-FacebookAI/roberta-large #model-index #region-us \n### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: FacebookAI/roberta-large\n* Classification he... |
null | null |
I merged lora: https://huggingface.co/kleidialogo/bleta-8B-v0.5 and the base model: https://huggingface.co/unsloth/llama-3-8b-bnb-4bit.
Tested q8 gguf in Ava app (you can download it from here: https://avapls.com/). Prompt: Pse një peshk nuk mund të fluturojë? Why can't a fish fly?
Bleta-8b-v0.5 answered:
Peshkët nuk ... | {"language": ["sq"]} | NikolayKozloff/bleta-8B-v0.5-Albanian-shqip-GGUF | null | [
"gguf",
"sq",
"region:us"
] | null | 2024-04-25T01:27:23+00:00 | [] | [
"sq"
] | TAGS
#gguf #sq #region-us
|
I merged lora: URL and the base model: URL
Tested q8 gguf in Ava app (you can download it from here: URL Prompt: Pse një peshk nuk mund të fluturojë? Why can't a fish fly?
Bleta-8b-v0.5 answered:
Peshkët nuk kanë krahë dhe nuk janë të aftë për të fluturuar.
Kjo është një karakteristikë fizike e tyre, e cila u bëhet nj... | [] | [
"TAGS\n#gguf #sq #region-us \n"
] | [
11
] | [
"TAGS\n#gguf #sq #region-us \n"
] |
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