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feature-extraction | 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. -->
# bias_identificaiton1
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "bias_identificaiton1", "results": []}]} | PriyaPatel/bias_identificaiton1 | null | [
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|
# bias_identificaiton1
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers | # BioMistral-MedMNX
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [johnsnowlabs/JSL-MedM... | {"license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["johnsnowlabs/JSL-MedMNX-7B", "BioMistral/BioMistral-7B-DARE"]} | BioMistral/BioMistral-MedMNX | null | [
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| # BioMistral-MedMNX
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using johnsnowlabs/JSL-MedMNX-7B as a base.
### Models Merged
The following models were included in the merge:
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text-generation | transformers |
# yujiepan/llama-3-tiny-random-gptq-w4
4-bit weight only quantization by AutoGPTQ on [yujiepan/llama-3-tiny-random](https://huggingface.co/yujiepan/llama-3-tiny-random)
```python
from transformers import AutoModelForCausalLM, AutoTokenizer, GPTQConfig
import torch
model_id = "yujiepan/llama-3-tiny-random"
tokenizer... | {"library_name": "transformers", "tags": []} | yujiepan/llama-3-tiny-random-gptq-w4 | null | [
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# yujiepan/llama-3-tiny-random-gptq-w4
4-bit weight only quantization by AutoGPTQ on yujiepan/llama-3-tiny-random
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text-classification | transformers | ## Metrics
- loss: 0.9470
- accuracy: 0.8366
- precision: 0.8360
- recall: 0.8366
- precision_macro: 0.8141
- recall_macro: 0.7899
- macro_fpr: 0.0143
- weighted_fpr: 0.0138
- weighted_specificity: 0.9781
- macro_specificity: 0.9876
- weighted_sensitivity: 0.8366
- macro_sensitivity: 0.7899
- f1_micro: 0.8366
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/InLegal-legal-merge-ties-d-0-InLegal-w-1 | null | [
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| ## Metrics
- loss: 0.9470
- accuracy: 0.8366
- precision: 0.8360
- recall: 0.8366
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text-generation | transformers |
# Uploaded model
- **Developed by:** reallad
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | reallad/blopsy-1.3 | null | [
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|
# Uploaded model
- Developed by: reallad
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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feature-extraction | 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. -->
# bias_identificaiton0
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation se... | {"tags": ["generated_from_keras_callback"], "model-index": [{"name": "bias_identificaiton0", "results": []}]} | PriyaPatel/bias_identificaiton0 | null | [
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|
# bias_identificaiton0
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DialoGPT-small - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/micro... | {} | RichardErkhov/microsoft_-_DialoGPT-small-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
DialoGPT-small - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
thumbnail: URL
tags:
* conversational
license: mit
---
A State-of-the-Art Large-scale Pretrained Res... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DialoGPT-small - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/micro... | {} | RichardErkhov/microsoft_-_DialoGPT-small-8bits | null | [
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#transformers #safetensors #gpt2 #text-generation #conversational #arxiv-1911.00536 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
DialoGPT-small - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
thumbnail: URL
tags:
* conversational
license: mit
---
A State-of-the-Art Large-scale Pretrained Res... | [
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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... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["AIGym/function_calling_v2"]} | AIGym/Llama-2-7b-chat-hf-structured-responses-SFT | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset_condensed/) dataset and in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset_condensed"]} | BigTMiami/micro_par_bn_v_3_pretrain_adapter | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset_condensed #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_3_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1_5 - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/ph... | {} | RichardErkhov/microsoft_-_phi-1_5-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-1_5 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
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license_link: URL
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1 - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-... | {} | RichardErkhov/microsoft_-_phi-1-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-1 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
license_link: URL
language:
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pipeline_tag: text-generation
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset_condensed/) dataset and in... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset_condensed"]} | BigTMiami/micro_par_bn_v_4_pretrain_adapter | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_4_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
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text-generation | transformers | # Llama-3-Orca-1.0-8B-GGUF
Quant of [https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
- f32
- f16
- Q8_0
- Q4_K_M
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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": ["trl", "sft"]} | b2bp8ip/tinyllama_mbpp_ft | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_0 | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1_5 - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/ph... | {} | RichardErkhov/microsoft_-_phi-1_5-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-1_5 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
license_link: URL
language:
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pipeline_tag: text-generation
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1 - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-... | {} | RichardErkhov/microsoft_-_phi-1-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-1 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
license_link: URL
language:
- en
pipeline_tag: text-generation
tags:
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null | transformers |
# Uploaded model
- **Developed by:** indiehackers
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | indiehackers/gemma7b-telugu-instruct | null | [
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feature-extraction | 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. -->
# finetuned_bge_ver24
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver24", "results": []}]} | comet24082002/finetuned_bge_ver24 | null | [
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# finetuned_bge_ver24
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2 - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-... | {} | RichardErkhov/microsoft_-_phi-2-4bits | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T17:29:45+00:00 | [] | [] | TAGS
#transformers #safetensors #phi #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
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phi-2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
license_link: URL
language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
---
## Model Summary
Phi-2 is a Transformer with ... | [
"## Model Summary\n\nPhi-2 is a Transformer with 2.7 billion parameters. It was trained using the same data sources as Phi-1.5, augmented with a new data source that consists of various NLP synthetic texts and filtered websites (for safety and educational value). When assessed against benchmarks testing common sens... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MODEL_EPOCHS2_D
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_EPOCHS2_D", "results": []}]} | LLMLover/MODEL_EPOCHS2_D | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:NousResearch/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-20T17:29:48+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-NousResearch/Llama-2-7b-hf #region-us
|
# MODEL_EPOCHS2_D
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
The following 'bitsandbyt... | [
"# MODEL_EPOCHS2_D\n\nThis model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure\n... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-1b-v0.1 - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/mic... | {} | RichardErkhov/microsoft_-_rho-math-1b-v0.1-4bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2404.07965",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T17:29:49+00:00 | [
"2404.07965"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2404.07965 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
rho-math-1b-v0.1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
tags:
* nlp
* math
language:
* en
pipeline\_tag: text-generation
---
Rho-1: Not All ... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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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": []} | yuhuixu/mistral-bias-0.85 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T17:30:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1 - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-1/
... | {} | RichardErkhov/microsoft_-_phi-1-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-20T17:31:29+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
phi-1 - GGUF
* Model creator: URL
* Original model: URL
Name: phi-1.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.54GB
Name: phi-1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.59GB
Name: phi-1.IQ3\_S.gguf, Quant method: IQ3\_S, Size: 0.61GB
... | [
"### Code Format:\n\n\nwhere the model generates the code after the comments. (Note: This is a legitimate and correct use of the else statement in Python loops.)\n\n\nNotes:\n\n\n* Phi-1 is intended for code purposes. The model-generated code should be treated as a starting point rather than a definitive solution f... | [
"TAGS\n#gguf #region-us \n",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-1_5 - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-1_5... | {} | RichardErkhov/microsoft_-_phi-1_5-gguf | null | [
"gguf",
"arxiv:2309.05463",
"region:us"
] | null | 2024-04-20T17:31:50+00:00 | [
"2309.05463"
] | [] | TAGS
#gguf #arxiv-2309.05463 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-1\_5 - GGUF
* Model creator: URL
* Original model: URL
Name: phi-1\_5.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.54GB
Name: phi-1\_5.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.59GB
Name: phi-1\_5.IQ3\_S.gguf, Quant method: IQ3\_S, S... | [
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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. -->
# stories_model_bert_v2
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large", "model-index": [{"name": "stories_model_bert_v2", "results": []}]} | elzinga/stories_model_bert_v2 | null | [
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"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-large",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T17:31:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| stories\_model\_bert\_v2
========================
This model is a fine-tuned version of facebook/bart-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4479
* Rouge1: 0.1642
* Rouge2: 0.0794
* Rougel: 0.1413
* Rougelsum: 0.141
* Gen Len: 20.0
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-1b-v0.1 - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/mic... | {} | RichardErkhov/microsoft_-_rho-math-1b-v0.1-8bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2404.07965",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-20T17:31:55+00:00 | [
"2404.07965"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2404.07965 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
rho-math-1b-v0.1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
tags:
* nlp
* math
language:
* en
pipeline\_tag: text-generation
---
Rho-1: Not All ... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-1b-v0.1 - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsof... | {} | RichardErkhov/microsoft_-_rho-math-1b-v0.1-gguf | null | [
"gguf",
"arxiv:2404.07965",
"region:us"
] | null | 2024-04-20T17:34:00+00:00 | [
"2404.07965"
] | [] | TAGS
#gguf #arxiv-2404.07965 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
rho-math-1b-v0.1 - GGUF
* Model creator: URL
* Original model: URL
Name: rho-math-1b-v0.1.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.4GB
Name: rho-math-1b-v0.1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.44GB
Name: rho-math-1b-v0.1.IQ3\_... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-stable6 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T17:35:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2 - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-... | {} | RichardErkhov/microsoft_-_phi-2-8bits | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-20T17:35:36+00:00 | [] | [] | TAGS
#transformers #safetensors #phi #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
license_link: URL
language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
---
## Model Summary
Phi-2 is a Transformer with ... | [
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | cheesebird/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8684
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_1 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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null | peft | LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch.
Dataset used is [a modified](https://huggingface.co/datasets/mpasila/LimaRP-augmented-8k-context) version of [grimulkan/LimaRP-augmented](https://huggingface.co/da... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "not-for-all-audiences"], "datasets": ["grimulkan/LimaRP-augmented", "mpasila/LimaRP-augmented-8k-context"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mpasila/Llama-3-LimaRP-LoRA-8B | null | [
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Dataset used is a modified version of grimulkan/LimaRP-augmented.
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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": ["trl", "sft"]} | b2bp8ip/llama_mbpp_synthetic | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | This is a merge of [mpasila/Llama-3-LimaRP-LoRA-8B](https://huggingface.co/mpasila/Llama-3-LimaRP-LoRA-8B).
LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch.
Dataset used is [a modified](https://huggingface.co/da... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "not-for-all-audiences"], "datasets": ["grimulkan/LimaRP-augmented", "mpasila/LimaRP-augmented-8k-context"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mpasila/Llama-3-LimaRP-8B | null | [
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text-generation | transformers | # Llama-3-DARE-v2-8B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llam... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT"} | rmihaylov/Llama-3-DARE-v2-8B | null | [
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| # Llama-3-DARE-v2-8B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using meta-llama/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
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text-classification | transformers | ## Metrics
- loss: 2.6228
- accuracy: 0.0782
- precision: 0.1449
- recall: 0.0782
- precision_macro: 0.0927
- recall_macro: 0.1351
- macro_fpr: 0.3725
- weighted_fpr: 0.4570
- weighted_specificity: 0.9156
- macro_specificity: 0.9329
- weighted_sensitivity: 0.0782
- macro_sensitivity: 0.1351
- f1_micro: 0.0782
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/InLegalDIFF-InLegal-legal-merge-ties-d-053-w-050 | null | [
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- loss: 2.6228
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
SMM4H Task 6 : Model for reddit texts
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
SMM4H Task 6 : Model for reddit texts
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hotsuyuki/gpt_10B_global_step10 | 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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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="ProgrammierAdri/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additi... | {"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": ... | ProgrammierAdri/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | Nithin29/mistral7binstruct_summarize | null | [
"peft",
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"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T17:45:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4884
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n",
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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="ProgrammierAdri/Taxler", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxler", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- 2... | ProgrammierAdri/Taxler | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-20T17:48:27+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2 - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsoft/phi-2/
... | {} | RichardErkhov/microsoft_-_phi-2-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-20T17:50:04+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-2 - GGUF
* Model creator: URL
* Original model: URL
Name: phi-2.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.03GB
Name: phi-2.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.12GB
Name: phi-2.IQ3\_S.gguf, Quant method: IQ3\_S, Size: 1.16GB
... | [
"### QA Format:\n\n\nYou can provide the prompt as a standalone question as follows:\n\n\nwhere the model generates the text after \".\" .\nTo encourage the model to write more concise answers, you can also try the following QA format using \"Instruct: <prompt>\\nOutput:\"\n\n\nwhere the model generates the text af... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/urec_building_uncc
<Gallery />
## Model description
These are leonickson1/urec_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/duke_building_uncc | null | [
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"stable-diffusion-xl",
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"lora",
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-20T17:52:02+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/urec_building_uncc
<Gallery />
## Model description
These are leonickson1/urec_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE... | [
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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. -->
# english_2_spanish_model_2
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "english_2_spanish_model_2", "results": []}]} | TigerUppercut77/english_2_spanish_model_2 | null | [
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"tensorboard",
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"text2text-generation",
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| english\_2\_spanish\_model\_2
=============================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2029
* Bleu: 0.8105
* Gen Len: 18.1384
Model description
-----------------
More information needed
Inte... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# 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": []} | deepnet/SN6-30L1 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-7b-v0.1 - bnb 4bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/mic... | {} | RichardErkhov/microsoft_-_rho-math-7b-v0.1-4bits | null | [
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"mistral",
"text-generation",
"arxiv:2404.07965",
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"endpoints_compatible",
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#transformers #safetensors #mistral #text-generation #arxiv-2404.07965 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
rho-math-7b-v0.1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
tags:
* nlp
* math
language:
* en
pipeline\_tag: text-generation
---
Rho-1: Not All ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_2 | null | [
"adapter-transformers",
"roberta",
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"region:us"
] | null | 2024-04-20T17:55:57+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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null | peft |
# gemma-2b-lahacks 💻
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it).
It achieves the following results on the evaluation set:
- Loss: 2.3061
## Model description 📝
This model was fine-tuned during LAHacks 2024, the intention of this model is to be able to dia... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "gemma-2b-lahacks", "results": []}]} | LaZeAsh/gemma-2b-lahacks | null | [
"peft",
"safetensors",
"gemma",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b-it",
"license:gemma",
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] | null | 2024-04-20T17:56:27+00:00 | [] | [] | TAGS
#peft #safetensors #gemma #trl #sft #generated_from_trainer #base_model-google/gemma-2b-it #license-gemma #region-us
| gemma-2b-lahacks
================
This model is a fine-tuned version of google/gemma-2b-it.
It achieves the following results on the evaluation set:
* Loss: 2.3061
Model description
-----------------
This model was fine-tuned during LAHacks 2024, the intention of this model is to be able to diagnose a patient a... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
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": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-v2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | tarpalsus/Reinforce-Pixelcopter-v2 | null | [
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|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan_sum_04-20-17-50-40
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan_sum_04-20-17-50-40", "results": []}]} | reeddg/flan_sum_04-20-17-50-40 | null | [
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#tensorboard #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #region-us
|
# flan_sum_04-20-17-50-40
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
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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-large-xls-r-300m-hi-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/f... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-hi-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogn... | SharmilaAnanthasayanam/wav2vec2-large-xls-r-300m-hi-colab | null | [
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| wav2vec2-large-xls-r-300m-hi-colab
==================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6983
* Wer: 0.4948
Model description
-----------------
More information... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | osrojo/futurama | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | xshubhamx/REAL-InLegalBERT | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# queer-bert
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "queer-bert", "results": []}]} | savinda99/queer-bert | null | [
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| queer-bert
==========
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3661
* Accuracy: 0.8438
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text-generation | transformers |
Thanks to mradermacher, there are also GGUF quants (Q2_K-Q8_K & IQ3_XS-IQ4_XS) for this model available here: https://huggingface.co/mradermacher/Llama3-OrpoSmaug-Slerp-8B-GGUF
---
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library_name: transformers
tags:
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---
# Llama3 Orpo Smaug - Slerp
This is a merge of pre-trained lan... | {} | WesPro/Llama3-OrpoSmaug-Slerp-8B | null | [
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feature-extraction | sentence-transformers |
**新闻 | News**
**[2024-04-06]** 开源[puff](https://huggingface.co/infgrad/puff-base-v1)系列模型，**专门针对检索和语义匹配任务，更多的考虑泛化性和私有通用测试集效果，向量维度可变，中英双语**。
**[2024-02-27]** 开源stella-mrl-large-zh-v3.5-1792d模型，支持**向量可变维度**。
**[2024-02-17]** 开源stella v3系列、dialogue编码模型和相关训练数据。
**[2023-10-19]** 开源stella-base-en-v2 使用简单，**不需要任何前缀文本**。
... | {"language": ["en"], "license": "mit", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb"], "model-index": [{"name": "stella-base-en-v2", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfa... | jncraton/stella-base-en-v2-ct2-int8 | null | [
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| 新闻 | News
[2024-04-06] 开源puff系列模型，专门针对检索和语义匹配任务，更多的考虑泛化性和私有通用测试集效果，向量维度可变，中英双语。
[2024-02-27] 开源stella-mrl-large-zh-v3.5-1792d模型，支持向量可变维度。
[2024-02-17] 开源stella v3系列、dialogue编码模型和相关训练数据。
[2023-10-19] 开源stella-base-en-v2 使用简单，不需要任何前缀文本。
[2023-10-12] 开源stella-base-zh-v2和stella-large-zh-v2, 效果更好且使用简单，不需要任何前缀文本。
... | [
"#### C-MTEB leaderboard (Chinese)",
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text-classification | transformers | ## Metrics
- loss: 0.6542
- accuracy: 0.8397
- precision: 0.8389
- recall: 0.8397
- precision_macro: 0.7972
- recall_macro: 0.7630
- macro_fpr: 0.0140
- weighted_fpr: 0.0135
- weighted_specificity: 0.9785
- macro_specificity: 0.9879
- weighted_sensitivity: 0.8397
- macro_sensitivity: 0.7630
- f1_micro: 0.8397
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/UNTRAINED-InLegal-InLegal-legal-merge-ties-d-053-w-050 | null | [
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"xshubhamx/legal-bert-base-uncased",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-20T18:01:51+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #merge #mergekit #lazymergekit #xshubhamx/InLegalBERT #xshubhamx/legal-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ## Metrics
- loss: 0.6542
- accuracy: 0.8397
- precision: 0.8389
- recall: 0.8397
- precision_macro: 0.7972
- recall_macro: 0.7630
- macro_fpr: 0.0140
- weighted_fpr: 0.0135
- weighted_specificity: 0.9785
- macro_specificity: 0.9879
- weighted_sensitivity: 0.8397
- macro_sensitivity: 0.7630
- f1_micro: 0.8397
- f1_mac... | [
"## Metrics\n\n- loss: 0.6542\n- accuracy: 0.8397\n- precision: 0.8389\n- recall: 0.8397\n- precision_macro: 0.7972\n- recall_macro: 0.7630\n- macro_fpr: 0.0140\n- weighted_fpr: 0.0135\n- weighted_specificity: 0.9785\n- macro_specificity: 0.9879\n- weighted_sensitivity: 0.8397\n- macro_sensitivity: 0.7630\n- f1_mic... | [
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text-generation | transformers |
## Llamacpp Quantizations of OrpoLlama-3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/experimental">experimental</a> for quantization.
Original model: https://huggingface.co/mlabonne/OrpoLlama-3-8B
All quants made using... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/OrpoLlama-3-8B-GGUF | null | [
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| Llamacpp Quantizations of OrpoLlama-3-8B
----------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not the whole branch) from be... | [] | [
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sentence-similarity | sentence-transformers | <h1 align="center">GIST small Embedding v0</h1>
*GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning*
The model is fine-tuned on top of the [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) using the [MEDI dataset](https://github.com/xlang-ai/instructor-emb... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["feature-extraction", "mteb", "sentence-similarity", "sentence-transformers"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "GIST-small-Embedding-v0", "results": [{"task": {"type": "Classification"}, "dataset": {... | jncraton/GIST-small-Embedding-v0-ct2-int8 | null | [
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"region:us"
] | null | 2024-04-20T18:03:02+00:00 | [
"2402.16829",
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"en"
] | TAGS
#sentence-transformers #feature-extraction #mteb #sentence-similarity #en #arxiv-2402.16829 #arxiv-2212.09741 #license-mit #model-index #endpoints_compatible #region-us
| <h1 align="center">GIST small Embedding v0</h1>
*GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning*
The model is fine-tuned on top of the BAAI/bge-small-en-v1.5 using the MEDI dataset augmented with mined triplets from the MTEB Classification training dataset (excluding data f... | [
"# Data\n\nThe dataset used is a compilation of the MEDI and MTEB Classification training datasets. Third-party datasets may be subject to additional terms and conditions under their associated licenses. A HuggingFace Dataset version of the compiled dataset, and the specific revision used to train the model, is ava... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-7b-v0.1 - bnb 8bits
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/mic... | {} | RichardErkhov/microsoft_-_rho-math-7b-v0.1-8bits | null | [
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"region:us"
] | null | 2024-04-20T18:03:15+00:00 | [
"2404.07965"
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#transformers #safetensors #mistral #text-generation #arxiv-2404.07965 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
rho-math-7b-v0.1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
tags:
* nlp
* math
language:
* en
pipeline\_tag: text-generation
---
Rho-1: Not All ... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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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": []} | joneikholm/llama3_first | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Llama3-Pirate-Talk-8b-v0.1
Llama3-Pirate-Talk-8b-v0.1, developed by phanerozoic, is the first pirate-themed fine-tune of the Llama3 8b model. This version is crafted ... | {"language": ["en"], "license": "cc-by-nc-4.0", "widget": [{"text": "Who are you?\n", "example_title": "Pirate Introduction"}]} | phanerozoic/Llama3-Pirate-Talk-8b-v0.1 | null | [
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|
!Llama3-Pirate-Talk-8b-v0.1.URL
# Llama3-Pirate-Talk-8b-v0.1
Llama3-Pirate-Talk-8b-v0.1, developed by phanerozoic, is the first pirate-themed fine-tune of the Llama3 8b model. This version is crafted to generate authentic pirate-themed content, seamlessly blending historical accuracy with modern fictional representa... | [
"# Llama3-Pirate-Talk-8b-v0.1\n\nLlama3-Pirate-Talk-8b-v0.1, developed by phanerozoic, is the first pirate-themed fine-tune of the Llama3 8b model. This version is crafted to generate authentic pirate-themed content, seamlessly blending historical accuracy with modern fictional representations of pirate speech.",
... | [
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text-generation | transformers | Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [CohereForAI/c4ai-command-r-plus
](https://huggingface.co/CohereForAI/c4ai-command-r-plus).
For this quantization, we used 1 codebook of 16 bits.
Results:
| Model | Quantization | MMLU (5-shot) | Model size, Gb |
|------|------|-------|------|
|C... | {"library_name": "transformers", "tags": ["cohere", "conversational", "10languages", "text-generation-inference", "Inference Endpoints"]} | ISTA-DASLab/c4ai-command-r-plus-AQLM-2Bit-1x16 | null | [
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#transformers #safetensors #cohere #text-generation #conversational #10languages #text-generation-inference #Inference Endpoints #arxiv-2401.06118 #autotrain_compatible #endpoints_compatible #region-us
| Official AQLM quantization of CohereForAI/c4ai-command-r-plus
.
For this quantization, we used 1 codebook of 16 bits.
Results:
| [] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #conversational #10languages #text-generation-inference #Inference Endpoints #arxiv-2401.06118 #autotrain_compatible #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-stable7 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T18:09:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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|
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This modelcard aims to be a base template for new models. It has been generated using this raw template.
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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": []} | Ehsanl/m3-tx-22-ep2 | 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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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
rho-math-7b-v0.1 - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/microsof... | {} | RichardErkhov/microsoft_-_rho-math-7b-v0.1-gguf | null | [
"gguf",
"arxiv:2404.07965",
"region:us"
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"2404.07965"
] | [] | TAGS
#gguf #arxiv-2404.07965 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
rho-math-7b-v0.1 - GGUF
* Model creator: URL
* Original model: URL
Name: rho-math-7b-v0.1.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: rho-math-7b-v0.1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: rho-math-7b-v0.1.IQ3\... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_3 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
"# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_3' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Zephyr-7b-Unsloth-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "NotAiLOL/Zephyr-7b-Unsloth-DPO", "quantized_by": "mradermacher"} | mradermacher/Zephyr-7b-Unsloth-DPO-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Sanaullah06/WestStarling-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "senseable/WestLake-7B-v2", "Nexusflow/Starling-LM-7B-beta"], "base_model": "Sanaullah06/WestStarling-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/WestStarling-7B-slerp-GGUF | null | [
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#transformers #gguf #merge #mergekit #lazymergekit #senseable/WestLake-7B-v2 #Nexusflow/Starling-LM-7B-beta #en #base_model-Sanaullah06/WestStarling-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# 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": []} | Balab2021/llama3 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T18:16:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Un farfadet rempli de malice | {} | Sinexo/Farfadet-2 | null | [
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| Un farfadet rempli de malice | [] | [
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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"} | Fredithefish/Llama3RP-chkpt-5000 | null | [
"peft",
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #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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token-classification | transformers |
# bert-mapa-german
This model is a fine-tuned version of [google-bert/bert-base-german-cased](https://huggingface.co/google-bert/bert-base-german-cased) on the MAPA german dataset.
It's purpose is to discern private information within German texts.
It achieves the following results on the test set:
| Category ... | {"language": ["de"], "license": "mit", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-german-cased", "model-index": [{"name": "bert-mapa-german", "results": []}]} | jbroermann/bert-mapa-german | null | [
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| bert-mapa-german
================
This model is a fine-tuned version of google-bert/bert-base-german-cased on the MAPA german dataset.
It's purpose is to discern private information within German texts.
It achieves the following results on the test set:
* Loss: 0.0325
* Overall Accuracy: 0.9912
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MODEL_EPOCHS_C
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_EPOCHS_C", "results": []}]} | LLMLover/MODEL_EPOCHS_C | null | [
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|
# MODEL_EPOCHS_C
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
The following 'bitsandby... | [
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text-generation | transformers |
46, 47번 레이어만 튜닝해서 만든 이브이 Inst 모델입니다. 중후반 레이어를 raw 학습에 이용하여 Inst 모델을 만들 수 있습니다.
자세한 방법론은 추후 작성하겠습니다. | {"license": "apache-2.0"} | maywell/EEVE-Korean-Instruct-10.8B-Var | null | [
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46, 47번 레이어만 튜닝해서 만든 이브이 Inst 모델입니다. 중후반 레이어를 raw 학습에 이용하여 Inst 모델을 만들 수 있습니다.
자세한 방법론은 추후 작성하겠습니다. | [] | [
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question-answering | transformers |
A simple QA model. | {"license": "mit"} | jwt2706/basic-qa-66M-v0.1 | null | [
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"safetensors",
"distilbert",
"question-answering",
"license:mit",
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"region:us"
] | null | 2024-04-20T18:19:52+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #question-answering #license-mit #endpoints_compatible #region-us
|
A simple QA model. | [] | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | davidataka/bank_model | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | JasssZ/my_awesome_model | null | [
"transformers",
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"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T18:23:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_model
==================
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: 0.2308
* Accuracy: 0.9317
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CohereForAI/c4ai-command-r-plus
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/c4ai-comm... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "CohereForAI/c4ai-command-r-plus", "quantized_by": "mradermacher"} | mradermacher/c4ai-command-r-plus-GGUF | null | [
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-c... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "results", "results": []}]} | hamzah11/results | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:NousResearch/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-20T18:25:07+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
|
# results
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf 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 hyperparameter... | [
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text-generation | transformers | 
6.0bpw version of : https://huggingface.co/Nitral-AI/Poppy_Porpoise-v0.2-L3-8B
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Poppy_Porpoise-L3-8B", "Undi95/Llama-3-Unholy-8B"]} | Natkituwu/Poppy_Porpoise-v0.2-L3-8B-6.0bpw-exl2 | null | [
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"autotrain_compatible",
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"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-20T18:28:58+00:00 | [] | [] | TAGS
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| !image/jpeg
6.0bpw version of : URL
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each ad... | [
"# \"Poppy Porpoise\" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual pre... | [
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text-to-speech | null |
<h1 align="center"><a href="https://github.com/RVC-Boss/GPT-SoVITS">GPT-SoVITS</a> models</h1>
<p align="center">使用 <a href="https://github.com/RVC-Boss/GPT-SoVITS">GPT-SoVITS</a> 训练的模型</p>
<p align = 'center'>
<img width='150' src='https://cdn-uploads.huggingface.co/production/uploads/614bdf8c74bc496810b80f78/RL... | {"language": ["zh", "ja", "en"], "license": "gpl-3.0", "tags": ["GPT-SoVITS", "Sangonomiya Kokomi"], "pipeline_tag": "text-to-speech"} | xiaoheiqaq/GPT-Sovits-models | null | [
"GPT-SoVITS",
"Sangonomiya Kokomi",
"text-to-speech",
"zh",
"ja",
"en",
"license:gpl-3.0",
"region:us"
] | null | 2024-04-20T18:34:10+00:00 | [] | [
"zh",
"ja",
"en"
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#GPT-SoVITS #Sangonomiya Kokomi #text-to-speech #zh #ja #en #license-gpl-3.0 #region-us
|
<h1 align="center"><a href="URL models</h1>
<p align="center">使用 <a href="URL 训练的模型</p>
<p align = 'center'>
<img width='150' src='URL
</p>
## [English][Sangonomiya Kokomi ([珊瑚宮心海])](URL
Trained on ~1hr of english voiceover data.
使用约 1 小时的英语配音数据进行训练。
<br>
<center>
<audio controls src="URL
<p>The sof... | [
"## [English][Sangonomiya Kokomi ([珊瑚宮心海])](URL \n\n\nTrained on ~1hr of english voiceover data.\n\n使用约 1 小时的英语配音数据进行训练。\n\n<br>\n<center>\n <audio controls src=\"URL\n <p>The soft murmur of the river was calming, as the sun dipped below the horizon.</p>\n <audio controls src=\"URL\n <p>But to be honest... | [
"TAGS\n#GPT-SoVITS #Sangonomiya Kokomi #text-to-speech #zh #ja #en #license-gpl-3.0 #region-us \n",
"## [English][Sangonomiya Kokomi ([珊瑚宮心海])](URL \n\n\nTrained on ~1hr of english voiceover data.\n\n使用约 1 小时的英语配音数据进行训练。\n\n<br>\n<center>\n <audio controls src=\"URL\n <p>The soft murmur of the river was cal... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_4 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T18:34:25+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
"# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n# Adapter 'BigTMiami/micro_par_bn_v_2_help_class_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes... |
text-generation | transformers | # Locutusque/Llama-3-Orca-1.0-8B AWQ
- Model creator: [Locutusque](https://huggingface.co/Locutusque)
- Original model: [Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
#... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_... | solidrust/Llama-3-Orca-1.0-8B-AWQ | null | [
"transformers",
"safetensors",
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"text-generation",
"4-bit",
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"dataset:jondurbin/airoboros-3.2",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:m-a-p/Code-Feedback",... | null | 2024-04-20T18:35:13+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #dataset-Open-Orca/SlimOrca-Dedup #dataset-jondurbin/airoboros-3.2 #dataset-microsoft/orca-math-word-problems-200k #dataset-m-a-p/Code-Feedback #dataset-MaziyarPanahi/WizardLM_evol_instruct_V2... | # Locutusque/Llama-3-Orca-1.0-8B AWQ
- Model creator: Locutusque
- Original model: Llama-3-Orca-1.0-8B
!image/png
## Model Summary
I fine-tuned llama-3 8B on mainly SlimOrca, along with other datasets to improve performance in math, coding, and writing.
This model has great performance in writing and coding.
Conv... | [
"# Locutusque/Llama-3-Orca-1.0-8B AWQ\n\n- Model creator: Locutusque\n- Original model: Llama-3-Orca-1.0-8B\n\n!image/png",
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text-generation | transformers |
**Finetuned over openhermes-2.5 dataset for 1 epoch**
- Follows the llama-3 instruction format described in https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3
**Training Details**
https://medium.com/@sumandas0/fine-tune-llama3-on-million-scale-dataset-in-consumer-gpu-using-qlora-deepspeed-3ae8a... | {"license": "llama2", "datasets": ["teknium/OpenHermes-2.5"]} | sumandas/llama3-openhermes-2.5 | null | [
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"region:us"
] | null | 2024-04-20T18:35:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #dataset-teknium/OpenHermes-2.5 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Finetuned over openhermes-2.5 dataset for 1 epoch
- Follows the llama-3 instruction format described in URL
Training Details
URL | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-1 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T18:35:50+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selimyagci/bert-hate-en | null | [
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"safetensors",
"bert",
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"arxiv:1910.09700",
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"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers | 
6.5bpw version of : https://huggingface.co/Nitral-AI/Poppy_Porpoise-v0.2-L3-8B
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Poppy_Porpoise-L3-8B", "Undi95/Llama-3-Unholy-8B"]} | Natkituwu/Poppy_Porpoise-v0.2-L3-8B-6.5bpw-exl2 | null | [
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| !image/jpeg
6.5bpw version of : URL
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each ad... | [
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | AnettSand/detr | null | [
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"region:us"
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0269
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-1-a | null | [
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_0 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/lens-loss-minimality_lr_2e-5_attack_meta-llama_Llama-2-7b-chat-hf_1_num_layers_32_3e-5_1k | null | [
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"text-generation",
"arxiv:1910.09700",
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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sentence-similarity | sentence-transformers |
# atasoglu/mbert-base-cased-nli-stsb-tr
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
This model was adapted from [google-bert/bert-base-multilingual-cased](https://h... | {"language": ["tr"], "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["nli_tr", "emrecan/stsb-mt-turkish"], "pipeline_tag": "sentence-similarity"} | atasoglu/mbert-base-cased-nli-stsb-tr | null | [
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"license:apache-2.0",
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|
# atasoglu/mbert-base-cased-nli-stsb-tr
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
This model was adapted from google-bert/bert-base-multilingual-cased and fine-tuned on these datasets:
- ... | [
"# atasoglu/mbert-base-cased-nli-stsb-tr\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.\n\nThis model was adapted from google-bert/bert-base-multilingual-cased and fine-tuned on these data... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/vicgalle/Configurable-Llama-3-8B-v0.3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["safety"], "datasets": ["vicgalle/configurable-system-prompt-multitask"], "base_model": "vicgalle/Configurable-Llama-3-8B-v0.3", "quantized_by": "mradermacher"} | mradermacher/Configurable-Llama-3-8B-v0.3-GGUF | null | [
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"safety",
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"dataset:vicgalle/configurable-system-prompt-multitask",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T18:47:27+00:00 | [] | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T18:50:20+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_declr_4iters_256batch_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_declr_4iters_256batch_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_1 | null | [
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"autotrain_compatible",
"endpoints_co... | null | 2024-04-20T18:50:46+00:00 | [] | [] | TAGS
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|
# 0.0_ablation_declr_4iters_256batch_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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"## Intended uses & limitations\n\nMore information needed",
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