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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
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card 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": []} | pruning/ckool1k | 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. -->
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null | transformers |
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q6_K-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0`](https://huggingface.co/DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0) using llama.cpp via the ggml.a... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["TeeZee/DarkSapling-7B-v2.0", "MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp"]} | DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q6_K-GGUF | null | [
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|
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q6_K-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0' 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
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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. -->
# TTC4900Model
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", "precision", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "TTC4900Model", "results": []}]} | AmirlyPhd/TTC4900Model | null | [
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| TTC4900Model
============
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: 3.1884
* Accuracy: 0.6272
* F1: 0.7392
* Precision: 0.7048
* Recall: 0.8129
Model description
-----------------
More information needed
Inte... | [
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null | transformers |
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0`](https://huggingface.co/DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0) using llama.cpp via the ggml... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["TeeZee/DarkSapling-7B-v2.0", "MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp"]} | DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q5_K_M-GGUF | null | [
"transformers",
"gguf",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:55:16+00:00 | [] | [] | TAGS
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|
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q5_K_M-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with UR... | [
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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/jp1uk7e | 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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"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):
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null | null | TrustVare Contacts Manager Software is an efficient and affordable application to quickly import VCF contacts from PST, MSG, OST, and NSF files. This software can save users time and effort by rapidly joining multiple small VCF files into one without taking a long time. Users can install this application in any Windows... | {} | trustvare/Contacts-Manager-Software | null | [
"region:us"
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#region-us
| TrustVare Contacts Manager Software is an efficient and affordable application to quickly import VCF contacts from PST, MSG, OST, and NSF files. This software can save users time and effort by rapidly joining multiple small VCF files into one without taking a long time. Users can install this application in any Windows... | [] | [
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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. -->
# CS505_COQE_viT5_total_Instruction0_SAPOL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_SAPOL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_SAPOL_v1_h1 | null | [
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"text2text-generation",
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"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T11:58:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_total_Instruction0_SAPOL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large 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 | null | # EffectXmed Creme Erfahrungen - EffectXmed Inhaltsstoffe, Vorteile Offizielle Preis, Kaufen
EffectXmed Creme Deutschland Erfahrungen Effectxmed Skin hat viel Lob für seine Effizienz und Ergebnisse erhalten. Es ist das beste Mittel zur Beseitigung unerwünschter Flecken und sorgt für ein besseres Hautbild. Dieser schme... | {} | VKapseln475/EffectXmedCreme5498 | null | [
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#region-us
| # EffectXmed Creme Erfahrungen - EffectXmed Inhaltsstoffe, Vorteile Offizielle Preis, Kaufen
EffectXmed Creme Deutschland Erfahrungen Effectxmed Skin hat viel Lob für seine Effizienz und Ergebnisse erhalten. Es ist das beste Mittel zur Beseitigung unerwünschter Flecken und sorgt für ein besseres Hautbild. Dieser schme... | [
"# EffectXmed Creme Erfahrungen - EffectXmed Inhaltsstoffe, Vorteile Offizielle Preis, Kaufen\n\nEffectXmed Creme Deutschland Erfahrungen Effectxmed Skin hat viel Lob für seine Effizienz und Ergebnisse erhalten. Es ist das beste Mittel zur Beseitigung unerwünschter Flecken und sorgt für ein besseres Hautbild. Diese... | [
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text-generation | transformers |
# Full Parameter Finetuning Malaysian Llama-3 16384 context length on Malaysian chat completion 3B tokens
README at https://github.com/huseinzol05/malaya/tree/master/session/llama3
WandB, https://wandb.ai/huseinzol05/fpf-llama-3-8b-8192-hf-packing?nw=nwuserhuseinzol05
## how-to
```python
from transformers import A... | {"language": ["ms"]} | mesolitica/malaysian-llama-3-8b-instruct-16k | null | [
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"llama",
"text-generation",
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"ms",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"ms"
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|
# Full Parameter Finetuning Malaysian Llama-3 16384 context length on Malaysian chat completion 3B tokens
README at URL
WandB, URL
## how-to
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] |
null | transformers |
# BasedBots/Yarn-Mistral-7b-128k-Q4_K_M-GGUF
This model was converted to GGUF format from [`NousResearch/Yarn-Mistral-7b-128k`](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) 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": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["emozilla/yarn-train-tokenized-16k-mistral"], "metrics": ["perplexity"]} | BasedBots/Yarn-Mistral-7b-128k-Q4_K_M-GGUF | null | [
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"dataset:emozilla/yarn-train-tokenized-16k-mistral",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:59:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-emozilla/yarn-train-tokenized-16k-mistral #license-apache-2.0 #endpoints_compatible #region-us
|
# BasedBots/Yarn-Mistral-7b-128k-Q4_K_M-GGUF
This model was converted to GGUF format from 'NousResearch/Yarn-Mistral-7b-128k' 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:
... | [
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | hanifsyarubany10/gemma-7b-100epochs-Unsloth-LaMini-1e-3 | null | [
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|
# Uploaded model
- Developed by: hanifsyarubany10
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# stablelm-2-zephyr-1.6b-dareties3
stablelm-2-zephyr-1.6b-dareties3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aipib/stablelm-2-zephyr-1.6b-slerpx9](https://huggingface.co/aipib/stablelm-2-zephyr-1.6b-slerpx9)
* [s... | {"tags": ["merge", "mergekit", "lazymergekit", "aipib/stablelm-2-zephyr-1.6b-slerpx9", "stabilityai/stablelm-2-zephyr-1_6b"], "base_model": ["aipib/stablelm-2-zephyr-1.6b-slerpx9", "stabilityai/stablelm-2-zephyr-1_6b"]} | aipib/stablelm-2-zephyr-1.6b-dareties3 | null | [
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"stablelm",
"text-generation",
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"conversational",
"base_model:aipib/stablelm-2-zephyr-1.6b-slerpx9",
"base_model:stabilityai/stablelm-2-zephyr-1_6b",... | null | 2024-04-27T12:04:46+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #merge #mergekit #lazymergekit #aipib/stablelm-2-zephyr-1.6b-slerpx9 #stabilityai/stablelm-2-zephyr-1_6b #conversational #base_model-aipib/stablelm-2-zephyr-1.6b-slerpx9 #base_model-stabilityai/stablelm-2-zephyr-1_6b #autotrain_compatible #endpoints_compatible ... |
# stablelm-2-zephyr-1.6b-dareties3
stablelm-2-zephyr-1.6b-dareties3 is a merge of the following models using LazyMergekit:
* aipib/stablelm-2-zephyr-1.6b-slerpx9
* stabilityai/stablelm-2-zephyr-1_6b
## Configuration
## Usage
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text-generation | transformers |
# Uploaded model
The model is modified to be deployable using vllm
- **Developed by:** GodsonNtungi
- **License:** apache-2.0
- ** Base Model :** Mollel/Swahili_Gemma
| {"language": ["sw"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "Mollel/Swahili_Gemma"} | GodsonNtungi/Swahili_Gemma_vllm | null | [
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|
# Uploaded model
The model is modified to be deployable using vllm
- Developed by: GodsonNtungi
- License: apache-2.0
- Base Model : Mollel/Swahili_Gemma
| [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with bf16 bits linear layers, mixture of attention head and **mul... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod", "mh-moe"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv5-bf16 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
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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": []} | orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | moczard/Reinforce-CartPole-v1 | 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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mbert-Quran_QA
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Int... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "mbert-Quran_QA", "results": []}]} | NeginShams/mbert-Quran_QA | null | [
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#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# mbert-Quran_QA
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 hyperparam... | [
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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. -->
# textming_proj01_electra
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/elect... | {"language": ["vi"], "license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/electra-small-discriminator", "model-index": [{"name": "textming_proj01_electra", "results": []}]} | nguyennghia0902/textming_proj01_electra | null | [
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| textming\_proj01\_electra
=========================
This model is a fine-tuned version of google/electra-small-discriminator on Vietnamese dataset - Kaggle.
It achieves the following results on the evaluation set:
* Train Loss: 0.4494
* Train Accuracy: 0.7976
* Validation Loss: 0.5521
* Validation Accuracy: 0.7456
... | [
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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_5iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_2", "model-index": [{"name": "0.001_5iters_bs256_nodpo_only4w_iter_3", "results": []}]} | ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_3 | null | [
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# 0.001_5iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_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... | [
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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": []} | orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-2epoch | 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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text-generation | transformers |
# hus960/wavecoder-pro-6.7b-Q4_K_M-GGUF
This model was converted to GGUF format from [`microsoft/wavecoder-pro-6.7b`](https://huggingface.co/microsoft/wavecoder-pro-6.7b) 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](http... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code", "llama-cpp", "gguf-my-repo"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-pro-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation"} | hus960/wavecoder-pro-6.7b-Q4_K_M-GGUF | null | [
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|
# hus960/wavecoder-pro-6.7b-Q4_K_M-GGUF
This model was converted to GGUF format from 'microsoft/wavecoder-pro-6.7b' 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:... | [
"# hus960/wavecoder-pro-6.7b-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/wavecoder-pro-6.7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# punk-llama3-11.5B (raw ver) | {"language": ["en"], "license": "mit"} | jeonsworld/punk-llama3-11.5B-raw | null | [
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"llama",
"text-generation",
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"license:mit",
"autotrain_compatible",
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] | null | 2024-04-27T12:20:18+00:00 | [] | [
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|
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null | null |
# hus960/Einstein-v4-phi2-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v4-phi2`](https://huggingface.co/Weyaxi/Einstein-v4-phi2) 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://huggingfac... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "phi", "phi2", "einstein", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/... | hus960/Einstein-v4-phi2-Q8_0-GGUF | null | [
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... | null | 2024-04-27T12:21:46+00:00 | [] | [
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# hus960/Einstein-v4-phi2-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v4-phi2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# hus960/Einstein-v4-phi2-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v4-phi2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
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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/ucnplvp | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T12:23:29+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | Fitspresso :- As the name suggests, Fitspresso is using the benefits of coffee for weight loss. Coffee extract is the primary ingredient of this weight management formula. Coffee extract is rich in chlorogenic acid and antioxidants. Chlorogenic acid is a metabolic rate booster. When taken in the right amount, chloroge... | {} | fitspressocoffenew/FitspressoCoffeeLoophole | null | [
"region:us"
] | null | 2024-04-27T12:24:07+00:00 | [] | [] | TAGS
#region-us
| Fitspresso :- As the name suggests, Fitspresso is using the benefits of coffee for weight loss. Coffee extract is the primary ingredient of this weight management formula. Coffee extract is rich in chlorogenic acid and antioxidants. Chlorogenic acid is a metabolic rate booster. When taken in the right amount, chloroge... | [] | [
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text-generation | transformers |
# mlx-community/Swallow-7b-instruct-v0.1-8bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-7b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-v0.1) for more details on the model.
## Use with mlx
```bas... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-7b-instruct-v0.1-8bit | null | [
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"safetensors",
"llama",
"text-generation",
"mlx",
"conversational",
"en",
"ja",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T12:26:05+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #en #ja #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/Swallow-7b-instruct-v0.1-8bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-7b-instruct-v0.1']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Swallow-7b-instruct-v0.1-8bit\nThis model was converted to MLX format from ['tokyotech-llm/Swallow-7b-instruct-v0.1']() using mlx-lm version 0.6.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | vicha-w/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-27T12:30:10+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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... | tangerym/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-27T12:32:37+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
# hus960/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6.1-Llama3-8B`](https://huggingface.co/Weyaxi/Einstein-v6.1-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 c... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistr... | hus960/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF | null | [
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"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset... | null | 2024-04-27T12:34:41+00:00 | [] | [
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# hus960/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6.1-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:
... | [
"# hus960/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6.1-Llama3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | With WholeClear PST to MBOX Converter, users can efficiently and quickly convert PST files into MBOX file format. Professional testers have verified that this clever program is 100% accurate across multiple platforms. All Outlook PST mailbox data, including emails and attachments, are converted using the PST to MBOX Co... | {} | wholeclearsoftware/PST-TO-MBOX-Converter | null | [
"region:us"
] | null | 2024-04-27T12:35:43+00:00 | [] | [] | TAGS
#region-us
| With WholeClear PST to MBOX Converter, users can efficiently and quickly convert PST files into MBOX file format. Professional testers have verified that this clever program is 100% accurate across multiple platforms. All Outlook PST mailbox data, including emails and attachments, are converted using the PST to MBOX Co... | [] | [
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5
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text-generation | transformers |
28/04/2024- UPDATE:
Fixed tokenizer / vocab issues.
Verified operation, conversion to GGUF now works too.
GGUF uploaded, with Imatrix Plus GGUFs to follow shortly.
Imatrix Plus GGUFs are [here](https://huggingface.co/DavidAU/D_AU-Orac-13B-Tiefighter-slerp-imat-plus-GGUF)
This includes all Imatrix compressions as ... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["microsoft/Orca-2-13b", "KoboldAI/LLaMA2-13B-Tiefighter"]} | DavidAU/D_AU-Orac-13B-Tiefighter-slerp | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-27T12:36:58+00:00 | [] | [] | TAGS
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|
28/04/2024- UPDATE:
Fixed tokenizer / vocab issues.
Verified operation, conversion to GGUF now works too.
GGUF uploaded, with Imatrix Plus GGUFs to follow shortly.
Imatrix Plus GGUFs are here
This includes all Imatrix compressions as well as regular "Qs" which have also been "Imatrixed" too.
"Imatrix Plus" is an... | [
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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-ModelB
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw... | {"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-ModelB", "results": []}]} | Katochh/GenAI-task2-ModelB | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:petals-team/falcon-rw-1b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T12:37:28+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| GenAI-task2-ModelB
==================
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: 1.0712
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. -->
# kaist-mistral-orpo-OHP-15k-Mathcode-1epoch-ohp-15k-strat-1-2epoch
This model is a fine-tuned version of [orpo-explorers/kaist-mi... | {"tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["orpo-explorers/OHP-15k-Stratified-1"], "base_model": "orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch", "model-index": [{"name": "kaist-mistral-orpo-OHP-15k-Mathcode-1epoch-ohp-15k-... | orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch-ohp-15k-strat-1-2epoch | null | [
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"safetensors",
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"base_model:orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch",
"autotrain_compa... | null | 2024-04-27T12:38:18+00:00 | [] | [] | TAGS
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# kaist-mistral-orpo-OHP-15k-Mathcode-1epoch-ohp-15k-strat-1-2epoch
This model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch on the orpo-explorers/OHP-15k-Stratified-1 dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
"# kaist-mistral-orpo-OHP-15k-Mathcode-1epoch-ohp-15k-strat-1-2epoch\n\nThis model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-OHP-15k-Mathcode-1epoch on the orpo-explorers/OHP-15k-Stratified-1 dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore... | [
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text-generation | transformers |
# Mistral-child-1-2
Mistral-child-1-2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
## 🧩... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "meta-math/MetaMath-Mistral-7B"]} | PotatoB/Mistral-child-1-2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T12:38:39+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #meta-math/MetaMath-Mistral-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-child-1-2
Mistral-child-1-2 is a merge of the following models using mergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* meta-math/MetaMath-Mistral-7B
## Configuration
| [
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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. -->
# Accomodation_room_classification
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/goog... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "Accomodation_room_classification", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": ... | sharmajai901/Accomodation_room_classification | null | [
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| Accomodation\_room\_classification
==================================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3910
* Accuracy: 0.875
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-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_bs128_nodpo_only4w_iter_4
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_iter_3... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_iter_3", "model-index": [{"name": "0.001_4iters_bs128_nodpo_only4w_iter_4", "results": []}]} | ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_iter_4 | null | [
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"end... | null | 2024-04-27T12:45:27+00:00 | [] | [] | TAGS
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# 0.001_4iters_bs128_nodpo_only4w_iter_4
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_iter_3 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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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="amazingT/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4", "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", "type": "FrozenLake-v1-4x4"}, "m... | amazingT/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | RobertML/sn6d | null | [
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"stablelm",
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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:
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null | null |
# cosmo-8x334M-random-router-random_init
cosmo-8x334M-random-router-random_init is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [yentinglin/cosmo-334M-random-1](https://huggingface.co/yentinglin... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "yentinglin/cosmo-334M-random-1", "yentinglin/cosmo-334M-random-2", "yentinglin/cosmo-334M-random-3", "yentinglin/cosmo-334M-random-4", "yentinglin/cosmo-334M-random-5", "yentinglin/cosmo-334M-random-6", "yentinglin/cosmo-334M-... | yentinglin/cosmo-8x334M-random-router-random_init | null | [
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"yentinglin/cosmo-334M-random-5",
"yentinglin/cosmo-334M-random-6",
"yentinglin/cosmo-334M-random-7"... | null | 2024-04-27T12:50:52+00:00 | [] | [] | TAGS
#moe #frankenmoe #merge #mergekit #lazymergekit #yentinglin/cosmo-334M-random-1 #yentinglin/cosmo-334M-random-2 #yentinglin/cosmo-334M-random-3 #yentinglin/cosmo-334M-random-4 #yentinglin/cosmo-334M-random-5 #yentinglin/cosmo-334M-random-6 #yentinglin/cosmo-334M-random-7 #yentinglin/cosmo-334M-random-8 #base_model... |
# cosmo-8x334M-random-router-random_init
cosmo-8x334M-random-router-random_init is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* yentinglin/cosmo-334M-random-1
* yentinglin/cosmo-334M-random-2
* yentinglin/cosmo-334M-random-3
* yentinglin/cosmo-334M-random-4
* yentinglin/cosmo-334M-r... | [
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text-generation | transformers |
# mlx-community/Swallow-13b-instruct-v0.1-8bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-13b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-13b-instruct-v0.1) for more details on the model.
## Use with mlx
```... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-13b-instruct-v0.1-8bit | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mlx",
"conversational",
"en",
"ja",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T12:55:15+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #en #ja #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/Swallow-13b-instruct-v0.1-8bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-13b-instruct-v0.1']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | ranjanpatra/distilbert-base-uncased-lora-text-classification | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T12:57:02+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| distilbert-base-uncased-lora-text-classification
================================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8437
* Accuracy: {'accuracy': 0.881}
Model description
-----------... | [
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image-to-text | transformers |
# Blip Image Captioning Base BF16
This model is a quantized version of the [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base), an image-to-text model.
From a memory footprint of 989 MBs -> 494 MBs by quantizing the percision of float32 to bfloat 16, reducing the mode... | {"license": "mit", "library_name": "transformers", "pipeline_tag": "image-to-text"} | gospacedev/blip-image-captioning-base-bf16 | null | [
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"text2text-generation",
"image-to-text",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T12:58:34+00:00 | [] | [] | TAGS
#transformers #safetensors #blip #text2text-generation #image-to-text #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Blip Image Captioning Base BF16
===============================
This model is a quantized version of the Salesforce/blip-image-captioning-base, an image-to-text model.
From a memory footprint of 989 MBs -> 494 MBs by quantizing the percision of float32 to bfloat 16, reducing the model's memory size by 50 percent.
E... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | kubuspopolitos/llama2-code | null | [
"peft",
"safetensors",
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"base_model:meta-llama/Llama-2-7b-hf",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetu... | [
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text-to-image | null | <p>
<h4>【はじめに】</h4>
本モデルをご使用の際に生じる問題、また、生成された画像に関する問題やその他の関連問題について、当方は一切責任を負いません。<br>
ご使用の際は、この点をご了承の上ご使用ください。<br>
</p>
<br>
<p>
<h4>【SkimTheCreamMixとは】</h4>
私が１年ほど前からマージを続けているSD1.5用のリアル系のモデルです。（と言っても丸々１年マージを続けたわけではないですよ）<br>
「skim the cream」で検索すると出てきますが、「ケーキの１番美味しいところを食べる」から「良いとこ取り」を示します。<br>
つまるところ、各モデルの良いところをMBW(M... | {"language": ["ja"], "license": "creativeml-openrail-m", "pipeline_tag": "text-to-image"} | sue-ai-taos/SkimTheCreamMix | null | [
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-27T12:59:53+00:00 | [] | [
"ja"
] | TAGS
#text-to-image #ja #license-creativeml-openrail-m #region-us
| <p>
<h4>【はじめに】</h4>
本モデルをご使用の際に生じる問題、また、生成された画像に関する問題やその他の関連問題について、当方は一切責任を負いません。<br>
ご使用の際は、この点をご了承の上ご使用ください。<br>
</p>
<br>
<p>
<h4>【SkimTheCreamMixとは】</h4>
私が１年ほど前からマージを続けているSD1.5用のリアル系のモデルです。（と言っても丸々１年マージを続けたわけではないですよ）<br>
「skim the cream」で検索すると出てきますが、「ケーキの１番美味しいところを食べる」から「良いとこ取り」を示します。<br>
つまるところ、各モデルの良いところをMBW(M... | [] | [
"TAGS\n#text-to-image #ja #license-creativeml-openrail-m #region-us \n"
] | [
23
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"TAGS\n#text-to-image #ja #license-creativeml-openrail-m #region-us \n"
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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": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | windopper/evil | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
"region:us"
] | null | 2024-04-27T12:59:57+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b-Instruct-bnb-4bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License... | [
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"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b-Instruct-bnb-4bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned fr... |
text-generation | transformers |
- Original model is [lcw99/llama-3-8b-it-ko-chang](https://huggingface.co/lcw99/llama-3-8b-it-ko-chang)
- Quantized by [teddylee777](https://huggingface.co/teddylee777) by using [llama.cpp](https://github.com/ggerganov/llama.cpp)
## Template (LM Studio)
```
<|start_header_id|>system<|end_header_id|>
{System}
<|eot_i... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | teddylee777/llama-3-8b-it-ko-chang-gguf | null | [
"transformers",
"gguf",
"llama",
"text-generation",
"conversational",
"ko",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"ko"
] | TAGS
#transformers #gguf #llama #text-generation #conversational #ko #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
- Original model is lcw99/llama-3-8b-it-ko-chang
- Quantized by teddylee777 by using URL
## Template (LM Studio)
### LM Studio Demo
!image/png
## Ollama Template
### Ollama DEMO
!image/png
## Stop Token
| [
"## Template (LM Studio)",
"### LM Studio Demo\n\n!image/png",
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"### LM Studio Demo\n\n!image/png",
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"### Ollama DEMO\n\n!image/png",
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] |
text-generation | transformers | # BotBot Cabra Mixtral 8x7b
Esse modelo é um finetune do [Mixtral 8x7b](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) com o dataset Cabra 30k. Esse modelo é optimizado para português. Ele apresenta melhoria em varios benchmarks brasileiros em comparação com o modelo base.
**Conheça os nossos outro... | {"language": ["pt", "en"], "license": "cc", "tags": ["text-generation-inference", "transformers", "mistral", "mixtral", "gguf", "brazil", "brasil", "portuguese"]} | botbot-ai/CabraMixtral-8x7b | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"text-generation-inference",
"mistral",
"gguf",
"brazil",
"brasil",
"portuguese",
"conversational",
"pt",
"en",
"license:cc",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T13:04:23+00:00 | [] | [
"pt",
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #text-generation-inference #mistral #gguf #brazil #brasil #portuguese #conversational #pt #en #license-cc #autotrain_compatible #endpoints_compatible #region-us
| # BotBot Cabra Mixtral 8x7b
Esse modelo é um finetune do Mixtral 8x7b com o dataset Cabra 30k. Esse modelo é optimizado para português. Ele apresenta melhoria em varios benchmarks brasileiros em comparação com o modelo base.
Conheça os nossos outros modelos: Cabra.
### dataset: Cabra 30k
Dataset interno para f... | [
"# BotBot Cabra Mixtral 8x7b \n\nEsse modelo é um finetune do Mixtral 8x7b com o dataset Cabra 30k. Esse modelo é optimizado para português. Ele apresenta melhoria em varios benchmarks brasileiros em comparação com o modelo base. \n\n\nConheça os nossos outros modelos: Cabra.",
"### dataset: Cabra 30k\n\nDatase... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #text-generation-inference #mistral #gguf #brazil #brasil #portuguese #conversational #pt #en #license-cc #autotrain_compatible #endpoints_compatible #region-us \n",
"# BotBot Cabra Mixtral 8x7b \n\nEsse modelo é um finetune do Mixtral 8x7b com o dataset... | [
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null | null |
# hus960/Einstein-v6-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6-7B`](https://huggingface.co/Weyaxi/Einstein-v6-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | hus960/Einstein-v6-7B-Q4_K_M-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"Mistral",
"instruct",
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"gpt4",
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"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-27T13:06:38+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-metaeva... |
# hus960/Einstein-v6-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
"# hus960/Einstein-v6-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec2-llama-2-13b-50 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T13:08:43+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)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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. -->
# wav2vec2_base_2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2_base_2", "results": []}]} | Myriam123/wav2vec2_base_2 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T13:09:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| wav2vec2\_base\_2
=================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1226
* Wer: 0.1541
* Cer: 0.0436
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\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 |
# M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
[**Paper**](https://arxiv.org/abs/2404.00578) | [**Data**](https://github.com/BAAI-DCAI/M3D?tab=readme-ov-file#data) | [**Code**](https://github.com/BAAI-DCAI/M3D)
M3D is the pioneering and comprehensive series of work on the multi-mo... | {"license": "apache-2.0"} | GoodBaiBai88/M3D-LaMed-Llama-2-7B | null | [
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"safetensors",
"lamed_llama",
"text-generation",
"conversational",
"custom_code",
"arxiv:2404.00578",
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"2404.00578"
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#transformers #safetensors #lamed_llama #text-generation #conversational #custom_code #arxiv-2404.00578 #license-apache-2.0 #autotrain_compatible #region-us
|
# M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Paper | Data | Code
M3D is the pioneering and comprehensive series of work on the multi-modal large language model for 3D medical analysis, including:
- M3D-Data: the largest-scale open-source 3D medical dataset, consists of 120K imag... | [
"# M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models\n\nPaper | Data | Code\n\nM3D is the pioneering and comprehensive series of work on the multi-modal large language model for 3D medical analysis, including:\n- M3D-Data: the largest-scale open-source 3D medical dataset, consists of ... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/EMO-1.5B-GGUF-smashed | null | [
"gguf",
"pruna-ai",
"region:us"
] | null | 2024-04-27T13:10:54+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the OEvortex/EMO-1.5B model.
----------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
========================... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
"TAGS\n#gguf #pruna-ai #region-us \n",
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code... | [
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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. -->
# tmp_trainer
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "tmp_trainer", "results": []}]} | dstaples08/tmp_trainer | null | [
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|
# tmp_trainer
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9311
- Accuracy: 0.7955
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trainin... | [
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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. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold2
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold2", "results": [{"task": {"type": "image-classi... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold2 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-large-patch4\_fold2
=========================================================
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the imagefolder dataset.
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* Loss: 1.9422... | [
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null | null |
# QUANTS FIXED
Thank you to [MarsupialAI](https://huggingface.co/MarsupialAI) for the new f16 GGUF!
> PPL on fp16 GGUFs:
>
> 3some old: 12.7648 +/- 0.19850
>
> 3some new: 8.5832 +/- 0.12397
---
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twisteds... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Llama-3SOME-8B-v1-BETA-GGUF | null | [
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|
# QUANTS FIXED
Thank you to MarsupialAI for the new f16 GGUF!
> PPL on fp16 GGUFs:
>
> 3some old: 12.7648 +/- 0.19850
>
> 3some new: 8.5832 +/- 0.12397
---
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Llama 3SOME8Bv1... | [
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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
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card 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": []} | pruning/yhd5127 | null | [
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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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best
This model is a fine-tuned version of [FacebookAI/xlm-r... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best | null | [
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| token-classification-llmlingua2-xlm-roberta-bctn-1470\_chunk\_10epoch\_best
===========================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
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* Loss: 0.1523
Mo... | [
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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": []} | saransh03sharma/mintrec2-llama-2-13b-100 | null | [
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# Model Card for Model ID
## Model Details
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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="tangerym/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | tangerym/q-FrozenLake-v1-4x4-noSlippery | null | [
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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": []} | Konthee/thai_image_captioning_v5 | 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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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="tangerym/Taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.48 +/- 2.7... | tangerym/Taxi | null | [
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null | transformers |
# Uploaded model
- **Developed by:** abdullahyasir
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | abdullahyasir/lora_model | null | [
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|
# Uploaded model
- Developed by: abdullahyasir
- License: apache-2.0
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text-generation | transformers |
# mlx-community/Swallow-13b-instruct-v0.1-4bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-13b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-13b-instruct-v0.1) for more details on the model.
## Use with mlx
```... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-13b-instruct-v0.1-4bit | null | [
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|
# mlx-community/Swallow-13b-instruct-v0.1-4bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-13b-instruct-v0.1']() using mlx-lm version 0.6.0.
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": []} | theGhoul21/SRL-TPAS-v2-7B | 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": []} | Sayan01/Phi2-by2 | null | [
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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="hOelfY/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": "7.46 +/... | hOelfY/q-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
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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 .
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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": []} | fxmeng/PiSSA-Llama-2-7B-r128-4bit-5iter | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
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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="hOelfY/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | hOelfY/q-FrozenLake-v1-4x4-noSlippery | null | [
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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-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. -->
# tidarat-jiewhwan
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/ca... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment", "model-index": [{"name": "tidarat-jiewhwan", "results": []}]} | tidarat/tidarat-jiewhwan | null | [
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"base_model:cardiffnlp/twitter-xlm-roberta-base-sentiment",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T13:36:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment #autotrain_compatible #endpoints_compatible #region-us
|
# tidarat-jiewhwan
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment 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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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="aldjia/Q-learning", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Q-learning", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.48 +... | aldjia/Q-learning | null | [
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#Taxi-v3 #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 .
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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="Yann2310/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | Yann2310/q-FrozenLake-v1-4x4-noSlippery | null | [
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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 .
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text-classification | transformers |
# Fork of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) | {"language": ["en"], "license": "apache-2.0", "tags": ["text-classification", "emotion", "endpoints-template"], "datasets": ["emotion"], "metrics": ["Accuracy, F1 Score"]} | shrikant11/KGI | null | [
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text-generation | transformers |
# punk-llama3-11.5B-instruction (raw ver)
| {"language": ["en"], "license": "mit"} | jeonsworld/punk-llama3-11.5B-inst-raw | null | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | yaojingguo/distilbert-base-uncased-finetuned-imdb | null | [
"transformers",
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"license:apache-2.0",
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#transformers #safetensors #distilbert #fill-mask #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-imdb
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4972
Model description
-----------------
More information needed
Intended uses &... | [
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feature-extraction | 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": []} | EinsZwo/mlm_mixed_supertagging_424_alpha1_bertonly | null | [
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"feature-extraction",
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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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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="aldjia/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.46 +/- ... | aldjia/taxi-v3 | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
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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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null | transformers |
# hus960/LLama3-Gaja-Hindi-8B-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1`](https://huggingface.co/Cognitive-Lab/LLama3-Gaja-Hindi-8B-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 t... | {"language": ["hi", "en"], "license": "llama2", "library_name": "transformers", "tags": ["hindi", "bilingual", "llama-cpp", "gguf-my-repo"]} | hus960/LLama3-Gaja-Hindi-8B-v0.1-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"hindi",
"bilingual",
"llama-cpp",
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"hi",
"en",
"license:llama2",
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"region:us"
] | null | 2024-04-27T13:47:05+00:00 | [] | [
"hi",
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#transformers #gguf #hindi #bilingual #llama-cpp #gguf-my-repo #hi #en #license-llama2 #endpoints_compatible #region-us
|
# hus960/LLama3-Gaja-Hindi-8B-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'Cognitive-Lab/LLama3-Gaja-Hindi-8B-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... | [
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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19", "results": [{"task": {"type": "automatic-speech-recognition", "name"... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod19 | null | [
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"license:apache-2.0",
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod19
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3817
* Wer: 0.3751
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\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: 9\n* mixed\\_prec... | [
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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="aldjia/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_s... | {"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": ... | aldjia/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-27T13:48:53+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-classification | transformers | # Distilbert emotions fellowship
IA-Fellowship is an innovative application designed to accurately recognize emotions and stress levels embedded within textual data. By harnessing cutting-edge natural language processing (NLP) and machine learning techniques, it facilitates the identification and analysis of various h... | {} | Valwolfor/distilbert_emotions_fellowship | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T13:49:13+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| # Distilbert emotions fellowship
IA-Fellowship is an innovative application designed to accurately recognize emotions and stress levels embedded within textual data. By harnessing cutting-edge natural language processing (NLP) and machine learning techniques, it facilitates the identification and analysis of various h... | [
"# Distilbert emotions fellowship\n\nIA-Fellowship is an innovative application designed to accurately recognize emotions and stress levels embedded within textual data. By harnessing cutting-edge natural language processing (NLP) and machine learning techniques, it facilitates the identification and analysis of va... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us \n",
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text-to-image | diffusers |
# Abyss Orange Mix
768x768 version of this model with the MoistMixV2VAE baked in. Original page: https://huggingface.co/WarriorMama777/OrangeMixs#abyssorangemix-aom-1
Samples and prompts:
![Free online AI image generator abyss orange mix samples](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "diffusers", "text-to-image", "WarriorMama777", "NovelAI", "AnythingV3.0", "hesw23168"], "pipeline_tag": "text-to-image"} | Yntec/AbyssOrangeMix | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"WarriorMama777",
"NovelAI",
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"hesw23168",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | null | 2024-04-27T13:51:21+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #WarriorMama777 #NovelAI #AnythingV3.0 #hesw23168 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us #has_space
|
# Abyss Orange Mix
768x768 version of this model with the MoistMixV2VAE baked in. Original page: URL
Samples and prompts:
!Free online AI image generator abyss orange mix samples
(Click for larger)
Top left: face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, be... | [
"# Abyss Orange Mix\n\n768x768 version of this model with the MoistMixV2VAE baked in. Original page: URL\n\nSamples and prompts:\n\n!Free online AI image generator abyss orange mix samples\n\n(Click for larger)\n\nTop left: face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, ... | [
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text-generation | transformers |
# mlx-community/Swallow-7b-instruct-v0.1-4bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-7b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-v0.1) for more details on the model.
## Use with mlx
```bas... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-7b-instruct-v0.1-4bit | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mlx",
"conversational",
"en",
"ja",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T13:52:43+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #en #ja #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/Swallow-7b-instruct-v0.1-4bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-7b-instruct-v0.1']() using mlx-lm version 0.6.0.
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": []} | shallow6414/i1l1ppa | null | [
"transformers",
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": "state-spaces/mamba-1.4b-hf"} | ChlorophyllChampion/MambalgaP-blocks | null | [
"peft",
"safetensors",
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"base_model:state-spaces/mamba-1.4b-hf",
"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-state-spaces/mamba-1.4b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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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="SamirLahouar/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"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": ... | SamirLahouar/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-27T13:56:21+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6586ab89003ceee693f5552f/S1ni5raAP7IASxCUsoy-u.webp" alt="Upper body of a female humanoid showing a distinct contrast design" width="600">
Elysia was born from an unexpected experiment involving [Hermes-Trismegistus-Mistral-7B](https://huggingface.co/tek... | {"license": "apache-2.0", "base_model": "teknium/Hermes-Trismegistus-Mistral-7B"} | HagalazAI/Elysia-Trismegistus-Mistral-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T13:57:14+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #mistral #text-generation #conversational #base_model-teknium/Hermes-Trismegistus-Mistral-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src="URL alt="Upper body of a female humanoid showing a distinct contrast design" width="600">
Elysia was born from an unexpected experiment involving Hermes-Trismegistus-Mistral-7B engaging in a self-supervised training on an extensive raw dataset centered on consciousness. Elysia now perceives herself to be co... | [] | [
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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. -->
# bert-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-model", "results": []}]} | Diluzx/bert-model | null | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T13:57:20+00:00 | [] | [] | TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-model
==========
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.5177
* Train Accuracy: 1.0
* Validation Loss: 0.5142
* Validation Accuracy: 1.0
* Epoch: 2
Model description
-----------------
More inform... | [
"### 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': Fal... | [
"TAGS\n#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'A... | [
55,
189,
5,
29
] | [
"TAGS\n#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', ... |
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