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text-generation | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-70b-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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-70b-Instruct-bnb-4bit"} | Dogge/llama-3-70B-instruct-uncensored-4bit | null | [
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|
# Uploaded model
- Developed by: Dogge
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-70b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Dogge\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-70b-Instruct-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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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. -->
# mi-super-modelo
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mi-super-modelo", "results": []}]} | gallark/mi-super-modelo | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| mi-super-modelo
===============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5790
* Accuracy: 0.325
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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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/Boundary-Solar-Chat-2x10.7B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "mergekit", "NousResearch/Nous-Hermes-2-SOLAR-10.7B", "upstage/SOLAR-10.7B-Instruct-v1.0", "llama", "Llama"], "base_model": "NotAiLOL/Boundary-Solar-Chat-2x10.7B-MoE", "quantized_by": "mradermacher"} | mradermacher/Boundary-Solar-Chat-2x10.7B-MoE-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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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-stable1 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
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- llm_int8_has_fp16_weight: Fa... | {"library_name": "peft"} | SALT-NLP/CultureBank-Extractor | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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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. -->
# RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse
This model is a fine-tuned version of [google/gemma-2b](ht... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse | null | [
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| RM-HH-Mix\_harmless\_gpt3\_20000\_gemma2b\_shuffleFalse\_extractchosenFalse
===========================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0445
* Accuracy: 0.981... | [
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_micro_helpfulness_classifier_no_pretrain_4_adapter` 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 an... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/seq_bn_micro_helpfulness_classifier_no_pretrain_4_adapter | null | [
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|
# Adapter 'BigTMiami/seq_bn_micro_helpfulness_classifier_no_pretrain_4_adapter' 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 l... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: Fa... | {"library_name": "peft"} | SALT-NLP/CultureBank-Question-Generator | null | [
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#peft #region-us
| ## Training procedure
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | santoshsto/mistral-7b-python-FINETUNED-16bit | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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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_6iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_6iters_iter_1](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_6iters_iter_1", "model-index": [{"name": "0.0_ablation_declr_6iters_iter_2", "results": []}]} | ZhangShenao/0.0_ablation_declr_6iters_iter_2 | null | [
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# 0.0_ablation_declr_6iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_6iters_iter_1 on the ZhangShenao/0.0_ablation_declr_6iters_dataset dataset.
## 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": []} | MesozoicMetallurgist/llam-Proterozoic | null | [
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** TachyHealth_Research
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "medical"], "datasets": ["medalpaca/medical_meadow_mediqa"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | TachyHealth/Gazal_8b_llama_3_Med_finetuned | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | IntervitensInc/intv_l3_mk2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | conlan/ML-Agents-Pyramids | null | [
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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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-stable2 | 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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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text-generation | transformers |
## VAGO solutions Llama-3-SauerkrautLM-8b-Instruct
Introducing **Llama-3-SauerkrautLM-8b-Instruct** – our Sauerkraut version of the powerful [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface... | {"language": ["de", "en"], "license": "other", "tags": ["two stage dpo", "dpo"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for use, reproduction... | VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct | null | [
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| !SauerkrautLM
VAGO solutions Llama-3-SauerkrautLM-8b-Instruct
-----------------------------------------------
Introducing Llama-3-SauerkrautLM-8b-Instruct – our Sauerkraut version of the powerful meta-llama/Meta-Llama-3-8B-Instruct!
The model Llama-3-SauerkrautLM-8b-Instruct is a joint effort between VAGO Solutio... | [
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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": []} | Grayx/sad_llama_1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | lodrick-the-lafted/Copus-2x8B | null | [
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|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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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. -->
# RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenTrue
This model is a fine-tuned version of [google/gemma-2b](http... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenTrue", "results": []}]} | Holarissun/RM-HH-Mix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenTrue | null | [
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| RM-HH-Mix\_harmless\_gpt3\_20000\_gemma2b\_shuffleTrue\_extractchosenTrue
=========================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5008
* Accuracy: 0.73
Mo... | [
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sentence-similarity | sentence-transformers |
# Akshayxx/citeseer-finetuned-embeddings
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using thi... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Akshayxx/citeseer-finetuned-embeddings | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# Akshayxx/citeseer-finetuned-embeddings
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers in... | [
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reinforcement-learning | stable-baselines3 |
# **QRDQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **QRDQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training fram... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "QRDQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFr... | izaznov/qrdqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# QRDQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a QRDQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained ag... | [
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audio-classification | transformers | # Accent Classification
Whisper-based audio classification model trained on the [EdAcc dataset](https://huggingface.co/datasets/edinburghcstr/edacc).
This model was trained for 15 epochs.
## Evaluation
It achieves the following results on the evaluation set:
- Loss: 0.0340
- Accuracy: 0.9960
## Hyperparameters
Th... | {"language": ["en"], "datasets": ["ml-for-speech/edacc"], "pipeline_tag": "audio-classification"} | ml-for-speech/accent-classification | null | [
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| Accent Classification
=====================
Whisper-based audio classification model trained on the EdAcc dataset.
This model was trained for 15 epochs.
Evaluation
----------
It achieves the following results on the evaluation set:
* Loss: 0.0340
* Accuracy: 0.9960
Hyperparameters
---------------
The foll... | [] | [
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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. -->
# tapt_helpfulness_unipelt_pretraining_model_fix_train
This model is a fine-tuned version of [roberta-base](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "tapt_helpfulness_unipelt_pretraining_model_fix_train", "results": []}]} | ltuzova/tapt_helpfulness_unipelt_pretraining_model_fix_train | null | [
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| tapt\_helpfulness\_unipelt\_pretraining\_model\_fix\_train
==========================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4789
Model description
-----------------
More informa... | [
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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": []} | IntervitensInc/intv_l3_mk3 | null | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SurtMcGert/NLP-group-CW-xlnet-ner-tagging | null | [
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text-generation | transformers | Llama-3-11.5B-v2
Thank you to Meta for the weights for Meta-Llama-3-8B
This is an upscaling of the Meta-Llama-3-8B Ai using techniques created for chargoddard/mistral-11b-slimorca. This Ai model has... | {"license": "other", "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license/"} | Replete-AI/Llama-3-11.5B-V2 | null | [
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| Llama-3-11.5B-v2
Thank you to Meta for the weights for Meta-Llama-3-8B
!image/png
This is an upscaling of the Meta-Llama-3-8B Ai using techniques created for chargoddard/mistral-11b-slimorca. This Ai model has been upscaled from 8b parameters to 11.5b parameters without any continuous pretraining or fine-tuning.
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null | null | # 説明
wikipedia, mbpp, grade-school-mathで学習したトークナイザー。
## 学習に使ったデータ
英語：1.33GB (wiki40b)<br>
日本語：1.78GB (wiki40b) ※形態素単位で"||||"で事前分割してsentencepieceの学習時にpretokenization_delimiterを設定。<br>
コード：172KB (mbpp) <br>
数学：2.1MB (grade-school-math)
## 語彙の割合
概算ですが、アルファベットが約6割、日本語が約4割だと思います。（その他記号や数字は1~2%かと）
## 引用元
- https://aclantho... | {} | geniacllm/ja-en-tokenizer-unigram-v3 | null | [
"region:us"
] | null | 2024-04-20T00:18:51+00:00 | [] | [] | TAGS
#region-us
| # 説明
wikipedia, mbpp, grade-school-mathで学習したトークナイザー。
## 学習に使ったデータ
英語：1.33GB (wiki40b)<br>
日本語：1.78GB (wiki40b) ※形態素単位で"||||"で事前分割してsentencepieceの学習時にpretokenization_delimiterを設定。<br>
コード：172KB (mbpp) <br>
数学：2.1MB (grade-school-math)
## 語彙の割合
概算ですが、アルファベットが約6割、日本語が約4割だと思います。（その他記号や数字は1~2%かと）
## 引用元
- URL
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text-generation | null |
## 💫 Community Model> Llama 3 8B Instruct by Meta
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br>
**Original model**: [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)<br>
**GGUF quantization:** provided by [professorf](https://huggingface.co/professorf) ba... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | professorf/Meta-Llama-3-8B-Instruct-gguf | null | [
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|
## Community Model> Llama 3 8B Instruct by Meta
Model creator: meta-llama<br>
Original model: Meta-Llama-3-8B-Instruct<br>
GGUF quantization: provided by professorf based on 'URL' PR 6745<br>
## Model Summary:
Llama 3 represents a huge update to the Llama family of models. This model is the 8B parameter instruction... | [
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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": []} | zzttbrdd/sn6_02l | 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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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#peft #model-index #region-us
| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
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* \_load\_in\_8bit: False
* \_load\_in\_4bit: True
* llm\_int8\_threshold: 6.0
* llm\_int8\_skip\_modules: None
* llm\_int8\_enable\_fp32\_cpu\_offload: False
* llm\_int8\_h... | [
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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": []} | hemanth992/gemma-2b-mt-German-to-English | null | [
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# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_4_8e-5_10k | 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-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - yehiaa/RealVisXL_V4.0-lora-drew-v1
<Gallery />
## Model description
These are yehiaa/RealVisXL... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "SG161222/RealVisXL_V4.0", "instance_prompt": "a portrait of a sks person", "widget": [{... | yehiaa/RealVisXL_V4.0-lora-drew-v1 | null | [
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# SDXL LoRA DreamBooth - yehiaa/RealVisXL_V4.0-lora-drew-v1
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These are yehiaa/RealVisXL_V4.0-lora-drew-v1 LoRA adaption weights for SG161222/RealVisXL_V4.0.
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_0_adapter` 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 in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_0_adapter | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_0_adapter' 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.
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- llm_int8_has_fp16_weight: False
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sentence-similarity | sentence-transformers |
# Akshayxx/citeseer-finetuned-embeddingsV2
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.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using t... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Akshayxx/citeseer-finetuned-embeddingsV2 | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# Akshayxx/citeseer-finetuned-embeddingsV2
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.
## Usage (Sentence-Transformers)
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null | adapter-transformers |
# Adapter `BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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 pr... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_0 | null | [
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# Adapter 'BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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.
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null | peft | ## Training procedure
### Framework versions
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# Adapter `BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_1_adapter` 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 in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_1_adapter | null | [
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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.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null | # BookRecSys
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text-generation | transformers |
<div align="center">
<img width="260px" src="https://cdn-uploads.huggingface.co/production/uploads/5f3fe13d79c1ba4c353d0c19/BrQCb95lmEIFz79QAmoNA.png"></div>
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Advancing Open-source Large Language Models in Medical Domain
=============================================================
Online Demo
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GitHub
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[](#) |
Discord
!image/jpeg
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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 |
> [!CAUTION]
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | adapter-transformers |
# Adapter `BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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 pr... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_1 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_declr_4iters4e6_iter_2
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# 0.0_ablation_declr_4iters4e6_iter_2
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More information needed
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More information needed
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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mistral-7b-sft-lora-tom
=======================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
Model description
-----------------
More information needed
Intended uses & limitations... | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
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# Adapter `BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_2_adapter` for roberta-base
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# Adapter `BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_2` for roberta-base
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null | null |
# DavidAU/NeuralArjuna-7B-DT-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/NeuralArjuna-7B-DT`](https://huggingface.co/Kukedlc/NeuralArjuna-7B-DT) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://h... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "Gille/StrangeMerges_32-7B-slerp", "MSL7/INEX12-7b", "automerger/YamShadow-7B", "Kukedlc/NeuralSirKrishna-7b", "llama-cpp", "gguf-my-repo"], "base_model": ["yam-peleg/Experiment26-7B", "Gille/StrangeMerges_32-7B-slerp",... | DavidAU/NeuralArjuna-7B-DT-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"yam-peleg/Experiment26-7B",
"Gille/StrangeMerges_32-7B-slerp",
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"automerger/YamShadow-7B",
"Kukedlc/NeuralSirKrishna-7b",
"llama-cpp",
"gguf-my-repo",
"base_model:yam-peleg/Experiment26-7B",
"base_model:Gille/StrangeMerges_32-7B-... | null | 2024-04-20T01:17:59+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #yam-peleg/Experiment26-7B #Gille/StrangeMerges_32-7B-slerp #MSL7/INEX12-7b #automerger/YamShadow-7B #Kukedlc/NeuralSirKrishna-7b #llama-cpp #gguf-my-repo #base_model-yam-peleg/Experiment26-7B #base_model-Gille/StrangeMerges_32-7B-slerp #base_model-MSL7/INEX12-7b #base_model-au... |
# DavidAU/NeuralArjuna-7B-DT-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/NeuralArjuna-7B-DT' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/NeuralArjuna-7B-DT-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/NeuralArjuna-7B-DT' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\n... | [
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text-generation | transformers |
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
Basic uncensoring, this model is epoch 3 out of 4 (but it seem enough at 3)... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | Undi95/Llama-3-Unholy-8B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"conversational",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T01:18:24+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
!image/png
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
Basic uncensoring, this model is epoch 3 out of 4 (but it seem enough at 3).
If you are censored, it's maybe because of keyword like "assistant", "Factual answer", or other "sweet wo... | [
"## Description\n\nThis repo contains fp16 files of Unholy Llama3, an uncensored version of meta-llama/Meta-Llama-3-8B-Instruct.",
"## Dataset used\n\n- Undi95/toxic-dpo-v0.1\n- NobodyExistsOnTheInternet/ToxicQAFinal",
"## Prompt template: Llama3\n\n\n\nSillyTavern files of Llama3 prompt format (if you still do... | [
"TAGS\n#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"## Description\n\nThis repo contains fp16 files of Unholy Llama3, an uncensored version of... | [
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null | null |
# DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/Jupiter-k-7B-slerp`](https://huggingface.co/Kukedlc/Jupiter-k-7B-slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://h... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T01:22:34+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/Jupiter-k-7B-slerp' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/Jupiter-k-7B-slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\n... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/Jupiter-k-7B-slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# DavidAU/Jupiter-k-7B-slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/Jupiter-k-7B-slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInst... |
null | null |
# DavidAU/NeuralExperiment-7b-dare-ties-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/NeuralExperiment-7b-dare-ties`](https://huggingface.co/Kukedlc/NeuralExperiment-7b-dare-ties) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to th... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/NeuralMaxime-7B-slerp", "Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT", "Kukedlc/Neural4gsm8k", "llama-cpp", "gguf-my-repo"], "base_model": ["Kukedlc/NeuralMaxime-7B-slerp", "Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT", "Kukedlc/Neural4gsm8k"]} | DavidAU/NeuralExperiment-7b-dare-ties-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Kukedlc/NeuralMaxime-7B-slerp",
"Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT",
"Kukedlc/Neural4gsm8k",
"llama-cpp",
"gguf-my-repo",
"base_model:Kukedlc/NeuralMaxime-7B-slerp",
"base_model:Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT",
"base_model:Kukedlc/Neural4g... | null | 2024-04-20T01:23:35+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kukedlc/NeuralMaxime-7B-slerp #Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT #Kukedlc/Neural4gsm8k #llama-cpp #gguf-my-repo #base_model-Kukedlc/NeuralMaxime-7B-slerp #base_model-Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT #base_model-Kukedlc/Neural4gsm8k #license-apache-2.0 #region-us
|
# DavidAU/NeuralExperiment-7b-dare-ties-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/NeuralExperiment-7b-dare-ties' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CL... | [
"# DavidAU/NeuralExperiment-7b-dare-ties-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/NeuralExperiment-7b-dare-ties' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert-base-v2-finetuned-ner
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "albert-base-v2-finetuned-ner", "results": []}]} | MinhMinh09/albert-base-v2-finetuned-ner | null | [
"transformers",
"safetensors",
"albert",
"token-classification",
"generated_from_trainer",
"base_model:albert/albert-base-v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T01:28:31+00:00 | [] | [] | TAGS
#transformers #safetensors #albert #token-classification #generated_from_trainer #base_model-albert/albert-base-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# albert-base-v2-finetuned-ner
This model is a fine-tuned version of albert/albert-base-v2 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 hyp... | [
"# albert-base-v2-finetuned-ner\n\nThis model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
"TAGS\n#transformers #safetensors #albert #token-classification #generated_from_trainer #base_model-albert/albert-base-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #safetensors #albert #token-classification #generated_from_trainer #base_model-albert/albert-base-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# albert-base-v2-finetuned-ner\n\nThis model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.#... |
null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter` 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 in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T01:31:53+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter' 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 libra... | [
"# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter' 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 Adapte... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n",
"# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset data... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_3_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset an... |
null | adapter-transformers |
# Adapter `BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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 pr... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T01:32:24+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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.
## Usa... | [
"# Adapter 'BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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.... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n",
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n# Adapter 'BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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 ... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Ukrainian
This model is a fine-tuned version of [arun100/whisper-small-uk-1](https://huggingface.co/arun100/whispe... | {"license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["google/fleurs"], "metrics": ["wer"], "base_model": "arun100/whisper-small-uk-1", "model-index": [{"name": "Whisper Small Ukrainian", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogn... | arun100/whisper-small-uk-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"dataset:google/fleurs",
"base_model:arun100/whisper-small-uk-1",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T01:34:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #dataset-google/fleurs #base_model-arun100/whisper-small-uk-1 #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Small Ukrainian
=======================
This model is a fine-tuned version of arun100/whisper-small-uk-1 on the google/fleurs uk\_ua dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2881
* Wer: 18.6848
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #dataset-google/fleurs #base_model-arun100/whisper-small-uk-1 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #dataset-google/fleurs #base_model-arun100/whisper-small-uk-1 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparamete... |
null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.5-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.5-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.5-DPO | null | [
"trl",
"safetensors",
"DPO",
"WeniGPT",
"pt",
"base_model:Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged",
"license:mit",
"region:us"
] | null | 2024-04-20T01:35:40+00:00 | [] | [
"pt"
] | TAGS
#trl #safetensors #DPO #WeniGPT #pt #base_model-Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged #license-mit #region-us
|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.5-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT mo... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-finetuned-ner
This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/r... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-large", "model-index": [{"name": "roberta-large-finetuned-ner", "results": []}]} | MinhMinh09/roberta-large-finetuned-ner | null | [
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|
# roberta-large-finetuned-ner
This model is a fine-tuned version of FacebookAI/roberta-large 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 h... | [
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text-generation | transformers |
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.c... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "fi"], "license": "other", "tags": ["llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | OpenBuddy/openbuddy-llama3-8b-v21.1-8k | null | [
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|
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: URL
Website and Demo: URL
Evaluation result of this model: URL
!Demo
# Run locally with Ollama
# Copyright Notice
Built with Meta Llama 3
License: URL
Acceptable Use Policy: URL
This model is intended for use in English and Chinese.
# Pr... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.2
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.2 | null | [
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"license:openrail++",
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#diffusers #text-to-image #stable-diffusion-xl #stable-diffusion-xl-diffusers #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.2
<Gallery />
## Model description
These are cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0, for the purposes of
generating images... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HikariLight/Mistral-SUFT-10-5e-05-1-em | 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:
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null | null |
# DavidAU/NeuralMarioMonarch-7B-slerp-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/NeuralMarioMonarch-7B-slerp`](https://huggingface.co/Kukedlc/NeuralMarioMonarch-7B-slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/Monarch-7B", "vanillaOVO/supermario_v4", "llama-cpp", "gguf-my-repo"], "base_model": ["mlabonne/Monarch-7B", "vanillaOVO/supermario_v4"], "model-index": [{"name": "NeuralMarioMonarch-7B-slerp", "results": [{"task": {"type": "text-generati... | DavidAU/NeuralMarioMonarch-7B-slerp-Q6_K-GGUF | null | [
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|
# DavidAU/NeuralMarioMonarch-7B-slerp-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/NeuralMarioMonarch-7B-slerp' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serv... | [
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text-generation | transformers | # Shi-Ci Language Identify & Decode Expositor
**8B**, Ruozhiba...
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
**Chinese**
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are labelled from small to larg... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "pipeline_tag": "text-generation", "inference": true} | NLPark/Test0_SLIDE | null | [
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| # Shi-Ci Language Identify & Decode Expositor
8B, Ruozhiba...
* meta-llama/Meta-Llama-3-8B
Chinese
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are labelled from small to large "Nano" "Leap" "Pattern" "Avocet "Robin" "Kestrel" | [
"# Shi-Ci Language Identify & Decode Expositor\n8B, Ruozhiba...\n\n* meta-llama/Meta-Llama-3-8B\n\nChinese\nReleased as an early preview of our v3 LLMs.\nThe v3 series covers the \"Shi-Ci\", \"AnFeng\" and \"Cecilia\" LLM products.\nThe sizes are labelled from small to large \"Nano\" \"Leap\" \"Pattern\" \"Avocet \... | [
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null | null |
# DavidAU/NeuralKrishna-7B-V2-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/NeuralKrishna-7B-V2-DPO`](https://huggingface.co/Kukedlc/NeuralKrishna-7B-V2-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "model-index": [{"name": "NeuralKrishna-7B-V2-DPO", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args"... | DavidAU/NeuralKrishna-7B-V2-DPO-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-20T01:48:41+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #model-index #region-us
|
# DavidAU/NeuralKrishna-7B-V2-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/NeuralKrishna-7B-V2-DPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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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_6iters_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_6iters_iter_2](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_6iters_iter_2", "model-index": [{"name": "0.0_ablation_declr_6iters_iter_3", "results": []}]} | ZhangShenao/0.0_ablation_declr_6iters_iter_3 | null | [
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# 0.0_ablation_declr_6iters_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_6iters_iter_2 on the ZhangShenao/0.0_ablation_declr_6iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# 0.0_ablation_declr_6iters_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_6iters_iter_2 on the ZhangShenao/0.0_ablation_declr_6iters_dataset dataset.",
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text-generation | transformers |
# test_tiny_mixtral_only_router_2
test_tiny_mixtral_only_router_2 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-col... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "openaccess-ai-collective/tiny-mistral"], "base_model": ["openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral", "openaccess-ai-collective/tiny-mistral"]} | JSpergel/test_tiny_mixtral_only_router_2 | null | [
"transformers",
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"mixtral",
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"moe",
"frankenmoe",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-... | null | 2024-04-20T01:48:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #openaccess-ai-collective/tiny-mistral #base_model-openaccess-ai-collective/tiny-mistral #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# test_tiny_mixtral_only_router_2
test_tiny_mixtral_only_router_2 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
* openaccess-ai-collective/tiny-mistral
## Config... | [
"# test_tiny_mixtral_only_router_2\n\ntest_tiny_mixtral_only_router_2 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* openaccess-ai-collective/tiny-mistral\n* openaccess-ai-collective/tiny-mistral\n* openaccess-ai-collective/tiny-mistral\n* openaccess-ai-collective/tiny-mistral",... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/garage-bAInd/Platypus2-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Platypus2-70B-... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["garage-bAInd/Open-Platypus"], "base_model": "garage-bAInd/Platypus2-70B", "quantized_by": "mradermacher"} | mradermacher/Platypus2-70B-i1-GGUF | null | [
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"base_model:garage-bAInd/Platypus2-70B",
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"endpoints_compatible",
"region:us"
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"en"
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | null |
# DavidAU/NeuralExperiment-7b-MagicCoder-v7.5-Q6_K-GGUF
This model was converted to GGUF format from [`Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5`](https://huggingface.co/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) ... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["microsoft/orca-math-word-problems-200k", "ise-uiuc/Magicoder-Evol-Instruct-110K", "Vezora/Tested-22k-Python-Alpaca"]} | DavidAU/NeuralExperiment-7b-MagicCoder-v7.5-Q6_K-GGUF | null | [
"gguf",
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"gguf-my-repo",
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"dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
"dataset:Vezora/Tested-22k-Python-Alpaca",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T01:49:40+00:00 | [] | [] | TAGS
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|
# DavidAU/NeuralExperiment-7b-MagicCoder-v7.5-Q6_K-GGUF
This model was converted to GGUF format from 'Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
"# DavidAU/NeuralExperiment-7b-MagicCoder-v7.5-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_4_adapter` 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 in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_4_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T01:52:30+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_4_adapter' 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 libra... | [
"# Adapter 'BigTMiami/seq_bn_micro_help_class_no_pretrain_lr_0002_4_adapter' 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 Adapte... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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 pr... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_4 | null | [
"adapter-transformers",
"roberta",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_seq_bn_help_class_adp_lr_0002_seed_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.
## Usa... | [
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text-generation | transformers |
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
Basic uncensoring, this model is epoch 4 out of 4.
If you are censored, it... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | Undi95/Llama-3-Unholy-8B-e4 | null | [
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#transformers #pytorch #llama #text-generation #not-for-all-audiences #nsfw #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!image/png
Use at your own risk, I'm not responsible for any usage of this model, don't try to do anything this model tell you to do.
Basic uncensoring, this model is epoch 4 out of 4.
If you are censored, it's maybe because of keyword like "assistant", "Factual answer", or other "sweet words" like I call them.
#... | [
"## Description\n\nThis repo contains fp16 files of Unholy Llama3, an uncensored version of meta-llama/Meta-Llama-3-8B-Instruct.",
"## Dataset used\n\n- Undi95/toxic-dpo-v0.1\n- NobodyExistsOnTheInternet/ToxicQAFinal",
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text-generation | mlx |
# mlx-community/Meta-Llama-3-70B-Instruct-4bit-mlx
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-70B-Instruct-4bit-mlx | null | [
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"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-20T01:57:25+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-70B-Instruct-4bit-mlx
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-70B-Instruct-4bit-mlx\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/CHINOOK_08VAEBaked | null | [
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"endpoints_compatible",
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"region:us"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MesozoicMetallurgist/llam-Archean | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/tinyroberta-squad2", "model-index": [{"name": "outputs", "results": []}]} | vc64/outputs | null | [
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"license:cc-by-4.0",
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# outputs
This model is a fine-tuned version of deepset/tinyroberta-squad2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
"# outputs\n\nThis model is a fine-tuned version of deepset/tinyroberta-squad2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers |
# Uploaded model
- **Developed by:** xivin
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | xivin/t3 | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/deepsee... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-llm-67b-chat", "license_link": "LICENSE", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-llm-67b-chat-GGUF | null | [
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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
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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": []} | Grayx/sad_llama_4 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# finetuning-sentiment-model-300-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-300-samples", "results": []}]} | clawdiawhiskerwitz/finetuning-sentiment-model-300-samples | null | [
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|
# finetuning-sentiment-model-300-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
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- Accuracy: 0.76
- F1: 0.7647
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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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": []} | EinsZwo/nlid_mlm_supertag050-100kset-sanitysaveaftertrain | null | [
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null | null | This is the default meta-llama/Meta-Llama-3-8B-Instruct model for JanisAI ChatBot.
Installation Instructions:
Unzip the contents of this zipfile to your JanisAI/models folder in your JanisAI installation.
---
license: other
license_name: llama3
license_link: https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/... | {} | jetro30087/llama3-8b | null | [
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| This is the default meta-llama/Meta-Llama-3-8B-Instruct model for JanisAI ChatBot.
Installation Instructions:
Unzip the contents of this zipfile to your JanisAI/models folder in your JanisAI installation.
---
license: other
license_name: llama3
license_link: URL
---
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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. -->
# byt5_re_1k
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/byt5-small", "model-index": [{"name": "byt5_re_1k", "results": []}]} | AlexWang99/byt5_re_1k | null | [
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|
# byt5_re_1k
This model is a fine-tuned version of google/byt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
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- eval_runtime: 10.6751
- eval_samples_per_second: 936.758
- eval_steps_per_second: 1.218
- epoch: 192.0
- step: 384
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More in... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/royallab/Aetheria-L2-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Aetheria-L2-70B-... | {"language": ["en"], "library_name": "transformers", "tags": ["llama", "llama 2"], "base_model": "royallab/Aetheria-L2-70B", "quantized_by": "mradermacher"} | mradermacher/Aetheria-L2-70B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
Shining Valiant 2 is a chat model built on Llama 3 70b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
- Finetuned on [meta-llama/Meta-Llama-3-70B-Instruct](https://hu... | {"language": ["en"], "license": "other", "tags": ["shining-valiant", "shining-valiant-2", "valiant", "valiant-labs", "llama", "llama-3", "llama-3-instruct", "llama-3-instruct-70b", "70b", "conversational", "chat", "instruct"], "pipeline_tag": "text-generation", "model_type": "llama", "license_name": "llama3", "license_... | ValiantLabs/Llama3-70B-ShiningValiant2 | null | [
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|
!image/jpeg
Shining Valiant 2 is a chat model built on Llama 3 70b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-25 | null | [
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|
# robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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null | null |
# Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B
Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Mazi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B | null | [
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"region:us"
] | null | 2024-04-20T02:22:03+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B
Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
| [
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"## Configuration",
"## Usage"
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"# Meliodaspercival_01_experiment26t3qNeuralsynthesis-7B\n\nMeliodaspercival_01_experiment26t3qNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.",
"## Configuration",
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] |
text-generation | transformers | ---
Full backup from [meta-llama/Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf)
---
| {"license": "llama2"} | Warddamn2/Meta-Llama-2-13b-chat-hf | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T02:23:50+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ---
Full backup from meta-llama/Llama-2-13b-chat-hf
---
| [] | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
48
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"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
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