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visual-question-answering | 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": []} | usernameisanna/pathvqa | null | [
"transformers",
"safetensors",
"blip-2",
"visual-question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T14:11:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #blip-2 #visual-question-answering #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | presencesw/Vistral-7B-UIT-CLAIM_6 | null | [
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#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.
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- Shared by [optional]:
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text-generation | transformers |
## モデル
- ベースモデル：[ryota39/llm-jp-1b-sft-15k](https://huggingface.co/ryota39/llm-jp-1b-sft-15k)
- 学習データセット：[llm-jp/hh-rlhf-12k-ja](https://huggingface.co/datasets/llm-jp/hh-rlhf-12k-ja)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoT... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["dpo"], "datasets": ["llm-jp/hh-rlhf-12k-ja"]} | ryota39/llm-jp-1b-sft-15k-dpo-12k | null | [
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"autotrain_compatible",
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"region:us"
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"ja"
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#transformers #safetensors #gpt2 #text-generation #dpo #ja #dataset-llm-jp/hh-rlhf-12k-ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## モデル
- ベースモデル：ryota39/llm-jp-1b-sft-15k
- 学習データセット：llm-jp/hh-rlhf-12k-ja
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
メタデータラボ、日本最大規模のAIハッカソン「LOCAL ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="MalumaDev/Q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/... | MalumaDev/Q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["generator"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-lug-only", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name... | akera/whisper-medium-lug-only | null | [
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"endpoints_compatible",
"region:us"
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
whisper-medium-lug-only
=======================
This model is a fine-tuned version of openai/whisper-medium on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1551
* Wer: 9.7662
Model descriptio... | [
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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. -->
# DarkBERT-finetuned-ner
This model is a fine-tuned version of [s2w-ai/DarkBERT](https://huggingface.co/s2w-ai/DarkBERT) on an unk... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["guidobenb/VCDB_NER"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "s2w-ai/DarkBERT", "pipeline_tag": "token-classification", "widget": [{"text": "In January 2023, Mailchimp, a prominent platform for... | guidobenb/DarkBERT-finetuned-ner | null | [
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"license:cc-by-nc-4.0",
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"has_space",
"region:us"
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| DarkBERT-finetuned-ner
======================
This model is a fine-tuned version of s2w-ai/DarkBERT on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6417
* Precision: 0.4470
* Recall: 0.5196
* F1: 0.4806
* Accuracy: 0.8638
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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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": []} | golf2248/hgntu6c | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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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 |
# hus960/Experiment30-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`yam-peleg/Experiment30-7B`](https://huggingface.co/yam-peleg/Experiment30-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chat", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | hus960/Experiment30-7B-Q4_K_M-GGUF | null | [
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|
# hus960/Experiment30-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'yam-peleg/Experiment30-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
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text-generation | transformers | # final_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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ../evol_merge_storage/input_... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | HachiML/Swallow-MS-7b-MergeEvol-fevals105-norm | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-28T14:24:03+00:00 | [
"2311.03099",
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#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2311.03099 #arxiv-2306.01708 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # final_merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065 as a base.
### Models Merged
The following models were included in the ... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | ahmetbahar/mist_tr | null | [
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|
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### Model Sources [optional]
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zlm_b64_le5_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b64_le5_s8000", "results": []}]} | mikhail-panzo/zlm_b64_le5_s8000 | null | [
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| zlm\_b64\_le5\_s8000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3630
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | transformers | # French-Alpaca-Llama3-8B-Instruct-v1.0-GGUF
- Original model: [French-Alpaca-Llama3-8B-Instruct-v1.0](https://huggingface.co/jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0)
<!-- description start -->
## Description
This repo contains GGUF format model files for [French-Alpaca-Llama3-8B-Instruct-v1.0](https://huggin... | {"language": ["fr", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama3", "french", "llama-3-8B", "GGUF"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"], "quantized_by": "andrijdavid"} | LiteLLMs/French-Alpaca-Llama3-8B-Instruct-v1.0-GGUF | null | [
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| # French-Alpaca-Llama3-8B-Instruct-v1.0-GGUF
- Original model: French-Alpaca-Llama3-8B-Instruct-v1.0
## Description
This repo contains GGUF format model files for French-Alpaca-Llama3-8B-Instruct-v1.0.
### About GGUF
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text-generation | transformers |
# llama-3-sqrt-crocodile-v0.0A
## 🧩 Configuration-moe
```yaml
base_model: llama-3-sqrt-crocodile-v0.0A/Uninstruct-Uncensored
gate_mode: hidden
dtype: bfloat16
experts:
- source_model: llama-3-sqrt-crocodile-v0.0A/sqrt-talker
positive_prompts:
- "Uncensored, creative, configurable, adapative"
- source_... | {"license": "other", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit"], "license_name": "llama3", "license_link": "LICENSE", "base_model": []} | Nhoodie/llama-3-sqrt-crocodile-v0.0A | null | [
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|
# llama-3-sqrt-crocodile-v0.0A
## Configuration-moe
## Configuration-mega
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kawagoshi-llm-team/test_12B | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- 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_4iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_4... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_4", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_iter_5", "results": []}]} | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_5 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_4 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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sentence-similarity | sentence-transformers |
# seregadgl101/baii_pr_v1_6ep
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_pr_v1_6ep | null | [
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|
# seregadgl101/baii_pr_v1_6ep
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_pr_v1_7ep
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_pr_v1_7ep | null | [
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|
# seregadgl101/baii_pr_v1_7ep
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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": "I'm looking for a bracelet as a birthday gift. What do you recommend?"}, {"text": ... | Shankhdhar/classifier_test_model | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/qzdjfo5 | 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-to-image | diffusers |
# pure-evolution-v5 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "pure-evolution-v5"... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/pure-evolution-v5 | null | [
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|
# pure-evolution-v5 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "pure-evolution-v5"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model ... | [
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_pr_v1_10ep
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model b... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_pr_v1_10ep | null | [
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|
# seregadgl101/baii_pr_v1_10ep
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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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": []} | nem012/gemma2b-r128 | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch... | {"language": ["en"], "license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "datasets": ["AI-Lab-Makerere/beans"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "widget": [{"src": "healthy.jpeg", "example_title": "Healthy"}, {"src": "bean_rust.jpeg", "example_... | leovale14/vit_model | null | [
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| vit\_model
==========
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0388
* Accuracy: 0.9925
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tobistd/small-training-13b | null | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_SFT_3.75b
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_SFT_3.75b"} | LeroyDyer/MetaMath_LLM_3b | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_MiniTron_SFT_3.75b
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | choudhry2272/legal-llm-merged-lora-adapter | 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 |
# Phi-3-mini-4k-instruct-opus-samantha
- This model is trained from microsoft's Phi-3 model:[microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
# Model Description
Phi-3-Mini-4K-Instruct is a 3.8B parameter, lightweight, state-of-the-art open model trained on Phi-3 datasets c... | {"datasets": ["macadeliccc/opus_samantha"]} | anezatra/Phi-3-mini-4k-instruct-opus-samantha | null | [
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| Phi-3-mini-4k-instruct-opus-samantha
====================================
* This model is trained from microsoft's Phi-3 model:microsoft/Phi-3-mini-4k-instruct
Model Description
=================
Phi-3-Mini-4K-Instruct is a 3.8B parameter, lightweight, state-of-the-art open model trained on Phi-3 datasets contain... | [
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text-generation | transformers | # biomistral_slerp_7b
This model is the result of merge of the following models made with flow-merge:
- Models:
- BioMistral/BioMistral-Safetensors
- mistralai/Mistral-7B-Instruct-v0.2
## flow-merge config
The following configuration was used to merge the models:
```yaml
base_model: BioMistral/BioMistral-Safete... | {"library_name": "transformers", "tags": ["flow-merge", "merge"]} | Flowrite/biomistral_slerp_7b | null | [
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"text-generation",
"flow-merge",
"merge",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #flow-merge #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # biomistral_slerp_7b
This model is the result of merge of the following models made with flow-merge:
- Models:
- BioMistral/BioMistral-Safetensors
- mistralai/Mistral-7B-Instruct-v0.2
## flow-merge config
The following configuration was used to merge the models:
| [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-001", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": ... | Fk24/Reinforce-001 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | 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": []} | aryanmagoon/flan-t5-base-8bit | 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 | # 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Undi95/Llama-3-LewdPlay-8B-evo](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["gradientai/Llama-3-8B-Instruct-262k", "Undi95/Llama-3-LewdPlay-8B-evo"]} | Jebadiah/Llama-3-8B-source-lewd-context | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using Undi95/Llama-3-LewdPlay-8B-evo as a base.
### Models Merged
The following models were included in the merge:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ilanasto/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | golf2248/nn79ohh | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
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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. -->
# Textual inversion text2image fine-tuning - janetsw/sca
These are textual inversion adaption weights for stabilityai/stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/sca | null | [
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|
# Textual inversion text2image fine-tuning - janetsw/sca
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent iss... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/final20 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | whizhamza/mistral_7b_emotional_support | null | [
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Undi95/Llama-3-LewdPlay-8B-evo](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Undi95/Llama-3-LewdPlay-8B-evo", "Trelis/Meta-Llama-3-8B-Instruct-function-calling"]} | Jebadiah/Llama-3-8B-source-lewd-function-calling | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using Undi95/Llama-3-LewdPlay-8B-evo as a base.
### Models Merged
The following models were included in the merge:
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automatic-speech-recognition | transformers |
# Latvian Whisper tiny speech recognition model
Trained on combination of:
- Common Voice 17, custom selection of all validated clips, max 1000 clips per speaker
- Fleurs, test+train+validation
Both regular whisper model and CTranslate2 converted version for use with [faster-whisper](https://github.com/SYSTRAN/faste... | {"language": ["lv"], "license": "apache-2.0", "tags": ["Whisper"], "metrics": [{"name": "wer", "type": "wer", "value": 21.96}], "pipeline_tag": "automatic-speech-recognition"} | RaivisDejus/whisper-tiny-lv | null | [
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|
# Latvian Whisper tiny speech recognition model
Trained on combination of:
- Common Voice 17, custom selection of all validated clips, max 1000 clips per speaker
- Fleurs, test+train+validation
Both regular whisper model and CTranslate2 converted version for use with faster-whisper as part of Home Assistant Whisper ... | [
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question-answering | transformers |
This model is a fine-tuned version of: https://huggingface.co/ali77sina/SECGPT
The instruction set is defined as follows:
```python
text = f"""### Question: {example['questions'][i]},
### Context: {example['sorted_chunks'][i]},
### Answer: {example['answers'][i]}"""
``` | {"license": "apache-2.0", "tags": ["finance"], "datasets": ["ali77sina/SEC-QA-sorted-chunks"], "pipeline_tag": "question-answering"} | ali77sina/SECGPT-FT-RAG | null | [
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|
This model is a fine-tuned version of: URL
The instruction set is defined as follows:
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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": []} | kssumanth6/t5_small_sentence_polishing_generator_v3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | prl90777/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw2.25-exl2 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v46 | null | [
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"arxiv:1910.09700",
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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": []} | Linxier/opt-125m-gptq-4bit | null | [
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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. -->
# tmp_trainer
This model is a fine-tuned version of [ali77sina/SECGPT](https://huggingface.co/ali77sina/SECGPT) on an unknown data... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ali77sina/SECGPT", "model-index": [{"name": "tmp_trainer", "results": []}]} | ali77sina/tmp_trainer | null | [
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|
# tmp_trainer
This model is a fine-tuned version of ali77sina/SECGPT 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 foll... | [
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Jebadiah/Llama-3-8B-source-lewd-function-calling](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Jebadiah/Llama-3-8B-source-lewd-context", "Jebadiah/Llama-3-8B-source-lewd-function-calling"]} | Jebadiah/Llama-3-8B-source-lewd-context-function-calling | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the task arithmetic merge method using Jebadiah/Llama-3-8B-source-lewd-function-calling as a base.
### Models Merged
The following models were included in the merge:
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/nq0nnpj | null | [
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/nz0g7k6 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** logmate
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | logmate/llama_script | null | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- 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": []} | justinkarlin/idefics-9b-faces | null | [
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text-generation | transformers |
# Model Card for Model ID
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sentence-similarity | null |
### Model Description
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [Nitral-AI/Echidna-7b-128k](https://huggingface.co/Nitral-AI/Echidna... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Jebadiah/Llama-3-8B-source-lewd-context-function-calling", "Nitral-AI/Echidna-7b-128k"]} | Jebadiah/Aria-7b-128k-v1 | null | [
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"text-generation... | null | 2024-04-28T15:34:01+00:00 | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using Nitral-AI/Echidna-7b-128k as a base.
### Models Merged
The following models were included in the merge:
* Jebadiah/Llama-3-8B-source-lewd-c... | [
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null | transformers |
# Model Card for Model ID
Fine-tuned Llama3-8b model with Lora (trained with max_steps=300 on colap T4 for experimental purposes)
Base Model: unsloth/llama-3-8b-bnb-4bit
Fine-tuning process https://www.youtube.com/watch?v=pK8u4QfdLx0&ab_channel=DavidOndrej
Fine-tuning data : tolgadev/turkish_73k_instruct_extended
| {"library_name": "transformers", "tags": ["unsloth"]} | Yudum/llama3-lora-turkish | null | [
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#transformers #safetensors #unsloth #endpoints_compatible #region-us
|
# Model Card for Model ID
Fine-tuned Llama3-8b model with Lora (trained with max_steps=300 on colap T4 for experimental purposes)
Base Model: unsloth/llama-3-8b-bnb-4bit
Fine-tuning process URL
Fine-tuning data : tolgadev/turkish_73k_instruct_extended
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null | null |
## Introduce
Quantizing the [UnicomLLM/Unichat-llama3-Chinese-8B](https://huggingface.co/UnicomLLM/Unichat-llama3-Chinese-8B) to f16, q2, q3, q4, q5, q6 and q8 with Llama.cpp.
## Prompt template
```
{system_message}
Human: {prompt}
Assistant:
``` | {"license": "apache-2.0"} | Monor/Unichat-llama3-Chinese-8B-gguf | null | [
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#gguf #license-apache-2.0 #region-us
|
## Introduce
Quantizing the UnicomLLM/Unichat-llama3-Chinese-8B to f16, q2, q3, q4, q5, q6 and q8 with URL.
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | RobertML/sn6e | null | [
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"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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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw3-exl2 | null | [
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<img src=URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GenAI-task2-ModelD-DS
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "GenAI-task2-ModelD-DS", "results": []}]} | Katochh/GenAI-task2-ModelD-DS | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| GenAI-task2-ModelD-DS
=====================
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6983
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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null | null | <div align="center">
# EmoLLM-心理健康大模型
</div>
<p align="center">
<a href="https://github.com/aJupyter/EmoLLM/">
<img src="https://github.com/SmartFlowAI/EmoLLM/raw/main/assets/logo.jpeg" alt="Logo" width="30%">
</a>
<div align="center">
<!-- PROJECT SHIELDS -->
[![Contributors][contributors-shield]][contri... | {} | chg0901/EmoLLM-Llama3-8B-Instruct3.0 | null | [
"region:us"
] | null | 2024-04-28T15:45:29+00:00 | [] | [] | TAGS
#region-us
|
EmoLLM-心理健康大模型
==============
[](URL)
[](URL)
[](URL)
[](URL)
[](URL)
[](URL)
[](URL)
### EmoLLM
简体中文| [English](README_EN.md)
[体验EmoLLM 2.0](URL>探索本项目的文档 »</strong></a>
... | [
"### EmoLLM\n\n\n\n 简体中文| [English](README_EN.md)\n \n\n \n\n[体验EmoLLM 2.0](URL>探索本项目的文档 »</strong></a>\n <br />\n <br />\n <a href=)\n ·\n [提出新特性](URL>报告Bug</a>\n ·\n <a href=)\n\nEmoLLM 是一系列能够支持 理解用户-支持用户-帮助用户 心理健康辅导链路的心理健康大模型，由 'LLM'指令微调而来，欢迎大家star~⭐⭐。目前已经开源的 'LLM' 微调配置如下：\n\n\n\n\n\n欢迎大家为本项目做出贡... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hossein0677/my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "hossein0677/my_awesome_model", "results": []}]} | hossein0677/my_awesome_model | null | [
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| hossein0677/my\_awesome\_model
==============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0318
* Validation Loss: 0.2818
* Train Accuracy: 0.9304
* Epoch: 2
Model descriptio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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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:
* [Nitral... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Echidna-7b-128k", "Jebadiah/Llama-3-8B-source-lewd-context-function-calling"]} | Jebadiah/Aria-7b-128k-v2 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* Nitral-AI/Echidna-7b-128k
* Jebadiah/Llama-3-8B-source-lewd-context-function-cal... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** arthrod
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Meta-Llama-3-8B-Instruct
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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | arthrod/ciceroptllamav1 | null | [
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|
# Uploaded model
- Developed by: arthrod
- License: apache-2.0
- Finetuned from model : meta-llama/Meta-Llama-3-8B-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Unclad3610/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Unclad3610/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ajeya-op/autotrain-mf1bv-xfico | null | [
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#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw3.5-exl2 | null | [
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"dataset:lodrick-the-lafted/Worldsim-Opus",
"license:llama3",
"autot... | null | 2024-04-28T15:55:52+00:00 | [] | [] | TAGS
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<img src=URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | berkouille/assistant_DPO_10 | null | [
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #mistral #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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": []} | golf2248/itl8gvd | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | prl90777/xlm-roberta-base-finetuned-panx-de-fr | null | [
"transformers",
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"xlm-roberta",
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"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T15:57:53+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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-swaghjal/model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new ty... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | swaghjal/model_out | null | [
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"safetensors",
"stable-diffusion",
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"diffusers-training",
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"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-28T15:58:00+00:00 | [] | [] | TAGS
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|
# controlnet-swaghjal/model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: High-quality close-up dslr photo of man wearing a hat with trees in the background
!images_0)
prompt: Girl smiling, professio... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jdqwoi/Mistral-dolphin-mix-cine-open-Ne
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "jdqwoi/Mistral-dolphin-mix-cine-open", "NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story"], "base_model": "jdqwoi/Mistral-dolphin-mix-cine-open-Ne", "quantized_by": "mradermacher"} | mradermacher/Mistral-dolphin-mix-cine-open-Ne-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# style-mixed-gorrila
This model is a fine-tuned version of [gorilla-llm/gorilla-openfunctions-v2](https://huggingface.co/gorilla-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "gorilla-llm/gorilla-openfunctions-v2", "model-index": [{"name": "style-mixed-gorrila", "results": []}]} | RuoxiL/style-mixed-gorrila | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:gorilla-llm/gorilla-openfunctions-v2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-28T15:59:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-gorilla-llm/gorilla-openfunctions-v2 #license-apache-2.0 #region-us
|
# style-mixed-gorrila
This model is a fine-tuned version of gorilla-llm/gorilla-openfunctions-v2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Nitral-AI/Echidna-7b-128k](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Echidna-7b-128k", "Jebadiah/Aria-7b-128k-v2"]} | Jebadiah/Aria-7b-128k-v3 | null | [
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"endpoints_compatible",
"text-generation-inference... | null | 2024-04-28T16:01:12+00:00 | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using Nitral-AI/Echidna-7b-128k as a base.
### Models Merged
The following models were included in the merge:
* Jebadiah/Aria-7b-128k-v2
### Confi... | [
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text-classification | transformers |
# bert-drug-review-to-condition
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on this dataset: Kallumadi,Surya and Grer,Felix. (2018). Drug Reviews (Drugs.com). UCI Machine Learning Repository. https://doi.org/10.24432/C5SK5S.
It achieves the following results on... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer", "medical", "biology", "text-classification", "multiclass classification", "pathologies", "illness", "diagnose"], "datasets": ["Zakia/drugscom_reviews"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "bert-base-uncased... | Marcuswas/bert-drug-review-to-condition | null | [
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"en",
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... | null | 2024-04-28T16:02:01+00:00 | [] | [
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| bert-drug-review-to-condition
=============================
This model is a fine-tuned version of bert-base-uncased on this dataset: Kallumadi,Surya and Grer,Felix. (2018). Drug Reviews (URL). UCI Machine Learning Repository. URL
It achieves the following results on the evaluation set:
* Loss: 0.6678
* Accuracy: 0.... | [
"### 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* num\\_epochs: 3.0",
"### Traini... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/a3f12wb | null | [
"transformers",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T16:02:07+00:00 | [
"1910.09700"
] | [] | TAGS
#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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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Jebadiah/Aria-7b-128k-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Jebadiah/Aria-7b-128k-v2", "quantized_by": "mradermacher"} | mradermacher/Aria-7b-128k-v2-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Jebadiah/Aria-7b-128k-v2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | 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. -->
# grad_ascent_2e-05_WikiMIA_QA_256_5
This model was trained from scratch on an unknown dataset.
## Model description
More inform... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openlm-research/open_llama_7b", "model-index": [{"name": "grad_ascent_2e-05_WikiMIA_QA_256_5", "results": []}]} | lluvecwonv/grad_ascent_2e-05_WikiMIA_QA_256_5 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:openlm-research/open_llama_7b",
"region:us"
] | null | 2024-04-28T16:03:26+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-openlm-research/open_llama_7b #region-us
|
# grad_ascent_2e-05_WikiMIA_QA_256_5
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 ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Unclad3610/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | Unclad3610/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-28T16:05:17+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
image-classification | transformers |
# test-image-classifier-mps
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/na... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | Benjoyo/test-image-classifier-mps | null | [
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"vit",
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"pytorch",
"huggingpics",
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"region:us"
] | null | 2024-04-28T16:05:54+00:00 | [] | [] | TAGS
#transformers #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# test-image-classifier-mps
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo. | [
"# test-image-classifier-mps\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nReport any issues with the demo at the github repo."
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sureshkm/camembert-base | null | [
"transformers",
"safetensors",
"camembert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T16:07:30+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #camembert #fill-mask #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... | [
"# Model Card for Model ID",
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null | transformers |
# Uploaded model
- **Developed by:** np28work
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | np28work/mistral_func_calling | null | [
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|
# Uploaded model
- Developed by: np28work
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# summarization-llama-2-finetuned
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-lla... | {"license": "llama2", "tags": ["generated_from_trainer"], "datasets": ["ssummarised/llama"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "summarization-llama-2-finetuned", "results": []}]} | kev108/summarization-llama-2-finetuned | null | [
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"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
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#safetensors #generated_from_trainer #dataset-ssummarised/llama #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| summarization-llama-2-finetuned
===============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the ssummarised/llama dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9292
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers |
# Uploaded model
- **Developed by:** drgary
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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/llama-3-8b-bnb-4bit"} | drgary/ft_llama3_athena2 | null | [
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|
# Uploaded model
- Developed by: drgary
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-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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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | spaily/camembert-base | 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 |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
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null | null |
He's a smol boi - https://huggingface.co/concedo/KobbleTiny
iMatrix generated with Kalomaze's groups_merged.txt | {"language": ["en"], "license": "apache-2.0"} | MarsupialAI/KobbleTiny-1.1B_iMatrix_GGUF | null | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rkotcher/bert_ner_experiment | null | [
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# Model Card for Model ID
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null | transformers | ## About
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<!-- provided-files -->
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static quants of URL
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null | null | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the aaditya/OpenBioLLM-Llama3-8B model.
---------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
==... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jspr/smut_llama_8b_smutromance_32k_merged
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "jspr/smut_llama_8b_smutromance_32k_merged", "quantized_by": "mradermacher"} | mradermacher/smut_llama_8b_smutromance_32k_merged-GGUF | null | [
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static quants of URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** arthrod
- **License:** apache-2.0
- **Finetuned from model :** NousResearch/Nous-Hermes-2-SOLAR-10.7B
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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "NousResearch/Nous-Hermes-2-SOLAR-10.7B"} | arthrod/cicerosolar | null | [
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# Uploaded model
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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. -->
# idefics2-8b-finetuned-multimodal
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/Huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-finetuned-multimodal", "results": []}]} | hari02/idefics2-8b-finetuned-multimodal | null | [
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|
# idefics2-8b-finetuned-multimodal
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | transformers |
# 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": []} | hari02/idefics2-8b-finetuned | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | tenzintridhe/phi2-model-C | null | [
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7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# 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- Funde... |
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