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image-classification | timm | # Model card for stanford_cars-timm-convnext_base.fb_in1k
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/stanford_cars-timm-convnext_base.fb_in1k | null | [
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feature-extraction | transformers |
# BLaIR-roberta-base
<!-- Provide a quick summary of what the model is/does. -->
BLaIR, which is short for "**B**ridging **La**nguage and **I**tems for **R**etrieval and **R**ecommendation", is a series of language models pre-trained on Amazon Reviews 2023 dataset.
BLaIR is grounded on pairs of *(item metadata, lan... | {"language": ["en"], "license": "mit", "tags": ["recommendation", "information retrieval", "Amazon Reviews 2023"], "datasets": ["McAuley-Lab/Amazon-Reviews-2023"], "base_model": "FacebookAI/roberta-base"} | hyp1231/blair-roberta-base | null | [
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|
# BLaIR-roberta-base
BLaIR, which is short for "Bridging Language and Items for Retrieval and Recommendation", is a series of language models pre-trained on Amazon Reviews 2023 dataset.
BLaIR is grounded on pairs of *(item metadata, language context)*, enabling the models to:
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text-generation | mlx |
# voxmenthe/Yi-34B-200K-4bit-mlx
This model was converted to MLX format from [`01-ai/Yi-34B-200K`]() using mlx-lm version **0.5.0**.
Refer to the [original model card](https://huggingface.co/01-ai/Yi-34B-200K) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import ... | {"license": "other", "tags": ["mlx"], "license_name": "yi-license", "license_link": "LICENSE", "widget": [{"example_title": "Yi-34B-Chat", "text": "hi", "output": {"text": " Hello! How can I assist you today?"}}, {"example_title": "Yi-34B", "text": "There's a place where time stands still. A place of breath taking wond... | voxmenthe/Yi-34B-200K-4bit-mlx | null | [
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#mlx #safetensors #llama #text-generation #license-other #region-us
|
# voxmenthe/Yi-34B-200K-4bit-mlx
This model was converted to MLX format from ['01-ai/Yi-34B-200K']() using mlx-lm version 0.5.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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_first_reward_modeling
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on ... | {"license": "other", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "my_first_reward_modeling", "results": []}]} | 773bw-h/my_first_reward_modeling | null | [
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| my\_first\_reward\_modeling
===========================
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6161
* Accuracy: 0.6461
Model description
-----------------
More information needed
Intended uses & limitati... | [
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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": []} | Miniruwan/mistral_7b_CLM_Fine_Tuned | null | [
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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": []} | HFlearner86/dummy-model | 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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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. -->
# Output_LayoutLMv3
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-large", "model-index": [{"name": "Output_LayoutLMv3", "results": []}]} | Noureddinesa/Output_LayoutLMv3 | null | [
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| Output\_LayoutLMv3
==================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2507
* Precision: 0.8319
* Recall: 0.8319
* F1: 0.8319
* Accuracy: 0.9771
Model description
-----------------
More info... | [
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text-generation | transformers |
# Luna-2x7B-MoE
Meet Luna, my one and only personal assistant and roleplaying partner. This MoE serves as her unique basis, both experts scoring above 72 average on the leaderboard, but designed for... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"]} | ResplendentAI/Luna-2x7B-MoE | null | [
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# Luna-2x7B-MoE
!image/png
Meet Luna, my one and only personal assistant and roleplaying partner. This MoE serves as her unique basis, both experts scoring above 72 average on the leaderboard, but designed for RP interactions. While running a 2x7B is slower than running a single 7B, I feel that the improved performa... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment24Yam-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment24Yam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment24Yam-7B](https://huggingface.co/automerger/Experiment24Yam-7B)
## Description
[MaziyarPanahi/Experiment24Yam-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment24-7B", "base_model:mayacinka/yam-jom-7B", "license:apache-2.0", "autotrain_compatible", "e... | MaziyarPanahi/Experiment24Yam-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment24Yam-7B
## Description
MaziyarPanahi/Experiment24Yam-7B-GGUF contains GGUF format model files for automerger/Experiment24Yam-7B.
## How to use
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text-generation | transformers |
# SEC-MBX-7B-DPO
SEC-MBX-7B-DPO is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [arcee-ai/sec-mistral-7b-instruct-1.2-epoch](https://huggingface.co/arcee-ai/sec-mistral-7b-instruct-1.2-epoch)
* [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)
## ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "arcee-ai/sec-mistral-7b-instruct-1.2-epoch", "macadeliccc/MBX-7B-v3-DPO"]} | arcee-ai/SEC-MBX-7B-DPO | null | [
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|
# SEC-MBX-7B-DPO
SEC-MBX-7B-DPO is a merge of the following models using mergekit:
* arcee-ai/sec-mistral-7b-instruct-1.2-epoch
* macadeliccc/MBX-7B-v3-DPO
## Configuration
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text-generation | transformers | # [MaziyarPanahi/MeliodasT3q-7B-GGUF](https://huggingface.co/MaziyarPanahi/MeliodasT3q-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/MeliodasT3q-7B](https://huggingface.co/automerger/MeliodasT3q-7B)
## Description
[MaziyarPanahi/MeliodasT3q-7B-GGUF](https://hug... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:AurelPx/Meliodas-7b-dare", "base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "license:apache-2.0", "autotrai... | MaziyarPanahi/MeliodasT3q-7B-GGUF | null | [
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"base_model:chihoonlee10/T3Q-Mistral-Orca-Math... | null | 2024-03-31T02:05:37+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-AurelPx/Meliodas-7b-dare #base_model-chihoonlee10/T3Q-Mistral-Orca-Math-DPO #license-apache-2.0 #autotrain_compatible #endpoints_compatible #t... | # MaziyarPanahi/MeliodasT3q-7B-GGUF
- Model creator: automerger
- Original model: automerger/MeliodasT3q-7B
## Description
MaziyarPanahi/MeliodasT3q-7B-GGUF contains GGUF format model files for automerger/MeliodasT3q-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### ... | [
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null | transformers | ## About
static quants of https://huggingface.co/deepnight-research/Saily_220B
<!-- provided-files -->
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part file... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "datasets": ["tiiuae/falcon-refinedweb", "EleutherAI/pile", "meta-math/MetaMathQA"], "base_model": "deepnight-research/Saily_220B", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml.c:16553: i != GGML_HASHTABLE_FULL", "quantized_by": "mradermacher"} | mradermacher/Saily_220B-GGUF | null | [
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| About
-----
static quants of URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar siz... | [] | [
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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. -->
**Model Nam**e: Mistral_7b_question_generation_v1
**Base Model**: mistral_7b_v0.1
Version: 1
**Description**: Mistral_7b_questi... | {"language": ["en"], "library_name": "transformers", "datasets": ["quac"], "pipeline_tag": "text-generation"} | Lucas-Hyun-Lee/Mistral_7b_question_generation_v1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
Model Name: Mistral_7b_question_generation_v1
Base Model: mistral_7b_v0.1
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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", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | wywang/reinforce-PixelCopter | 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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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": []} | cilantro9246/5kg5u5k | null | [
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | quickstep3621/kni49od | 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": []} | shallow6414/fzyteak | null | [
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text-generation | transformers |
# Haary/haryra-7b-mistral-id
<!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="margin-left: auto; margin-right: auto">
<img src="https://cdn.pixabay.com/photo/2023/08/12/13/22/peacock-8185593_960_720.png" alt="merak" style="width: 300px; margin:auto">
</div>
<hr style="margin-top: ... | {"language": ["id", "en"], "license": "cc-by-sa-4.0", "library_name": "transformers"} | Haary/haryra-7b-mistral-id | null | [
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# Haary/haryra-7b-mistral-id
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<img src="URL alt="merak" style="width: 300px; margin:auto">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
Haary/haryra-7b-mistral-id is QLoRA quantized version of Ichsan2895/Merak-7B-v4
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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": []} | quickstep3621/3jiuwdt | null | [
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## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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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. -->
# llama-3b-fintune-function-calling
This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openlm-research/open_llama_3b_v2", "model-index": [{"name": "llama-3b-fintune-function-calling", "results": []}]} | ashishbangwal/llama-3b-fintune-function-calling | null | [
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|
# llama-3b-fintune-function-calling
This model is a fine-tuned version of openlm-research/open_llama_3b_v2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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audio-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. -->
# dangerous-heartbeat-detection
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "dangerous-heartbeat-detection", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | Hemg/dangerous-heartbeat-detection | null | [
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| dangerous-heartbeat-detection
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6427
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses... | [
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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. -->
# lmind_nq_train6000_eval6489_v1_reciteonly_qa_v1_meta-llama_Llama-2-7b-hf_lora
This model is a fine-tuned version of [meta-llama/... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "lmind_nq_train6000_eval6489_v1_reciteonly_qa_v1_meta-llama_Llama-2-7b-hf_lora", "results": []}]} | tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v1_meta-llama_Llama-2-7b-hf_lora | null | [
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| lmind\_nq\_train6000\_eval6489\_v1\_reciteonly\_qa\_v1\_meta-llama\_Llama-2-7b-hf\_lora
=======================================================================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment26Shadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment26Shadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment26Shadow-7B](https://huggingface.co/automerger/Experiment26Shadow-7B)
## Description
[MaziyarPanahi/Expe... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:rwitz/experiment26-truthy-iter-0", "base_model:CorticalStack/shadow-clown-7B-slerp", "license:apache-2.0", "aut... | MaziyarPanahi/Experiment26Shadow-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment26Shadow-7B
## Description
MaziyarPanahi/Experiment26Shadow-7B-GGUF contains GGUF format model files for automerger/Experiment26Shadow-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on h... | [
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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. -->
# whisper-tiny-ga2en-v1.2
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) ... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-ga2en-v1.2", "results": []}]} | ymoslem/whisper-tiny-ga2en-v1.2 | null | [
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| whisper-tiny-ga2en-v1.2
=======================
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
The best model (this version) based on ChrF is at checkpoint 900, epoch 13.24, and it achieves the following results on the evaluation set:
* Loss: 2.7626
* Bleu: 15.36
* Chrf: 32.05
* We... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # lemonade-rebase-32k-7B
This is a rebase merge using the formula from [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3) on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta set to 100K. No other changes were made.
T... | {"license": "cc-by-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "cgato/Thespis-7b-v0.5-SFTTest-2Epoch", "NeverSleep/Noromaid-7B-0.4-DPO", "NurtureAI/neural-chat-7b-v3-1-16k", "cgato/Thespis-CurtainCall-7b-v0.2.2", "tavtav/eros-7b-test"]} | grimjim/lemonade-rebase-32k-7B | null | [
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This is a rebase merge using the formula from KatyTheCutie/LemonadeRP-4.5.3 on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta set to 100K. No other changes were made.
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text-generation | transformers | # [MaziyarPanahi/AlloyingotneoyPercival_01-7B-GGUF](https://huggingface.co/MaziyarPanahi/AlloyingotneoyPercival_01-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/AlloyingotneoyPercival_01-7B](https://huggingface.co/automerger/AlloyingotneoyPercival_01-7B)
## Des... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/AlloyIngotNeoY", "base_model:AurelPx/Percival_01-7b-slerp", "license:apache-2.0", "autotrain_compatible"... | MaziyarPanahi/AlloyingotneoyPercival_01-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/AlloyingotneoyPercival_01-7B
## Description
MaziyarPanahi/AlloyingotneoyPercival_01-7B-GGUF contains GGUF format model files for automerger/AlloyingotneoyPercival_01-7B.
## How to use
Thanks to TheBloke for prep... | [
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null | transformers |
# Excalibur-7b-DPO-iMat-GGUF
<img src="https://i.imgur.com/pbPbqq0.jpeg" width="550"/>
Quantized from fp32 with love.
iMatrix .dat file was calculated using groups_merged.txt.
<b>FP16 available [here](https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO)</b>
An initial foray into the world of fine-tunin... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["finetune", "dpo", "chatml", "gguf", "iMat"], "datasets": ["Intel/orca_dpo_pairs"], "base_model": ["InferenceIllusionist/Excalibur-7b"]} | InferenceIllusionist/Excalibur-7b-DPO-iMat-GGUF | null | [
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| Excalibur-7b-DPO-iMat-GGUF
==========================
<img src="https://i.URL width="550"/>
Quantized from fp32 with love.
iMatrix .dat file was calculated using groups\_merged.txt.
**FP16 available here**
An initial foray into the world of fine-tuning. The goal of this release was to amplify the quality of t... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** hanzla
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-2b
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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|
# Uploaded model
- Developed by: hanzla
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** hanzla
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-2b
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/unsloth/main/images/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "google/gemma-2b"} | hanzla/gemma-2b-datascience-instruct-v5 | null | [
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|
# Uploaded model
- Developed by: hanzla
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | BuroIdentidadDigital/Ine_Reverso_v0 | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Liu-Xiang/Enlighten_Instruct-alan-v1 | null | [
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# Model Card for Model ID
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### Model Description
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null | transformers | ## About
static quants of https://huggingface.co/Kukedlc/NeuralKuke-4-All-7b-DPO-v2
<!-- provided-files -->
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 Com... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "Kukedlc/NeuralKuke-4-All-7b-DPO-v2", "quantized_by": "mradermacher"} | mradermacher/NeuralKuke-4-All-7b-DPO-v2-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Kukedlc/NeuralKuke-4-All-7b-DPO-v2",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T02:54:07+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Kukedlc/NeuralKuke-4-All-7b-DPO-v2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# mt5-small-Corrupted-Zarma12
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-Corrupted-Zarma12", "results": []}]} | Mamadou2727/mt5-small-Corrupted-Zarma12 | null | [
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"region:us"
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| mt5-small-Corrupted-Zarma12
===========================
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0345
* Bleu: 20.2823
* Gen Len: 18.2409
Model description
-----------------
More information needed
Intended us... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711854072350x117614049284795020
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["squaadinc/copa"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1711854072350x117614049284795020 | null | [
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"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-squaadinc/copa #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711854072350x117614049284795020
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Dilio007/primeirotrainv2 | null | [
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/ChaoticNeutrals/RPMix-4x7B-MoE
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/RPMix-4x7B-MoE-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBlo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "ChaoticNeutrals/RPMix-4x7B-MoE", "quantized_by": "mradermacher"} | mradermacher/RPMix-4x7B-MoE-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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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": []} | tyemel/dinov2-large-finetuned-lora-dino_large_artist | null | [
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"safetensors",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | St4n/whisper-large-v2-self-0331 | 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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sentence-similarity | sentence-transformers |
# dbourget/philai-tsdae-5.5e-cp
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | dbourget/philai-tsdae-5.5e-cp | null | [
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"bert",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# dbourget/philai-tsdae-5.5e-cp
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:... | [
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text-generation | transformers | # [MaziyarPanahi/AlloyingotneoyExperiment24-7B-GGUF](https://huggingface.co/MaziyarPanahi/AlloyingotneoyExperiment24-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/AlloyingotneoyExperiment24-7B](https://huggingface.co/automerger/AlloyingotneoyExperiment24-7B)
##... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/AlloyIngotNeoY", "base_model:yam-peleg/Experiment24-7B", "license:apache-2.0", "autotrain_compatible", "... | MaziyarPanahi/AlloyingotneoyExperiment24-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/AlloyingotneoyExperiment24-7B
## Description
MaziyarPanahi/AlloyingotneoyExperiment24-7B-GGUF contains GGUF format model files for automerger/AlloyingotneoyExperiment24-7B.
## How to use
Thanks to TheBloke for ... | [
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text-generation | transformers | # EXL2 quants
EXL2 quants from 2.2bpw to 3.75bpw are avaialble by turboderp [here](https://huggingface.co/turboderp/dbrx-instruct-exl2)
This repo is an additional quant of 4.25bpw, with modified config.json that includes the additional tokens.
# DBRX Instruct
* DBRX Instruct is a mixture-of-experts (MoE) large lan... | {"license": "other", "extra_gated_heading": "You need to share contact information with Databricks to access this model", "extra_gated_prompt": "\n### DBRX Terms of Use\nUse of DBRX is governed by the [Databricks Open Model License](https://www.databricks.com/legal/open-model-license) and the [Databricks Open Model Acc... | ek826/dbrx-instruct-4.25bpw-exl2 | null | [
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#transformers #safetensors #dbrx #text-generation #custom_code #arxiv-2211.15841 #arxiv-2304.11277 #license-other #autotrain_compatible #text-generation-inference #region-us
| # EXL2 quants
EXL2 quants from 2.2bpw to 3.75bpw are avaialble by turboderp here
This repo is an additional quant of 4.25bpw, with modified URL that includes the additional tokens.
# DBRX Instruct
* DBRX Instruct is a mixture-of-experts (MoE) large language model trained from scratch by Databricks. DBRX Instruct s... | [
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text-generation | transformers | # [MaziyarPanahi/YamT3qm7x-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamT3qm7x-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamT3qm7x-7B](https://huggingface.co/automerger/YamT3qm7x-7B)
## Description
[MaziyarPanahi/YamT3qm7x-7B-GGUF](https://huggingface.c... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B", "base_model:nlpguy/T3QM7X", "license:apache-2.0", "autotrain_compatible", "endpoints_com... | MaziyarPanahi/YamT3qm7x-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamT3qm7x-7B
## Description
MaziyarPanahi/YamT3qm7x-7B-GGUF contains GGUF format model files for automerger/YamT3qm7x-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GG... | [
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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": []} | islam23/RAG_NEWS_FINANCE_LLAMA_FIQA_ | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model was trained from scratch on the eli5_category dataset.
It achieves the following results on... | {"tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | wenmingface/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model was trained from scratch on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.9084
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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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. -->
# opus-mt-cantonese-v1
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-zh", "model-index": [{"name": "opus-mt-cantonese-v1", "results": []}]} | edwinlaw/opus-mt-cantonese-v1 | null | [
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] | null | 2024-03-31T03:34:20+00:00 | [] | [] | TAGS
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| opus-mt-cantonese-v1
====================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh.
It achieves the following results on the evaluation set:
* Loss: 3.7970
* Bleu: 1.5351
* Gen Len: 12.6626
Check out version 2 which has more training data.
Model description
-----------------
This model... | [
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text-generation | transformers |
# MixtureofMerges-MoE-2x7b-v7
MixtureofMerges-MoE-2x7b-v7 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Gille/StrangeMerges_32-7B-slerp", "mlabonne/AlphaMonarch-7B"], "base_model": ["Gille/StrangeMerges_32-7B-slerp", "mlabonne/AlphaMonarch-7B"], "model-index": [{"name": "MixtureofMerges-MoE-2x7b-v7", "results": [{"task": {"type"... | jsfs11/MixtureofMerges-MoE-2x7b-v7 | null | [
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"license:apache-2.0",
... | null | 2024-03-31T03:42:50+00:00 | [] | [] | TAGS
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===========================
MixtureofMerges-MoE-2x7b-v7 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* Gille/StrangeMerges\_32-7B-slerp
* mlabonne/AlphaMonarch-7B
Configuration
-------------
Usage
-----
Open LLM Leaderboard Evaluation Results
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | yassmingh/AlzheimerChatbot | 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 | 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": []} | BuroIdentidadDigital/Ine_Reverso_v1 | 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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# Model Card for Model ID
## Model Details
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null | transformers |
# Uploaded model
- **Developed by:** quyennt
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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text-to-image | diffusers | # Design_Braun style
<Gallery />
## Model description
A Lora model for product design
## Download model
Weights for this model are available in Safetensors format.
[Download](/Win2r/Design-Braun_style/tree/main) them in the Files & versions tab.
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| # Design_Braun style
<Gallery />
## Model description
A Lora model for product design
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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. -->
# Qwen1.5-1.8B-ktr
This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on the ming... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["minghaowu/kill_that_reviewer"], "base_model": "Qwen/Qwen1.5-1.8B", "model-index": [{"name": "Qwen1.5-1.8B-ktr", "results": []}]} | minghaowu/Qwen1.5-1.8B-ktr | null | [
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|
# Qwen1.5-1.8B-ktr
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the minghaowu/kill_that_reviewer dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | shankartr123/whisper-small-punjabi-1-200steps | null | [
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## Model Details
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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. -->
# phi-2-ktr
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the minghaowu/kill_... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["minghaowu/kill_that_reviewer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-ktr", "results": []}]} | minghaowu/phi-2-ktr | null | [
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|
# phi-2-ktr
This model is a fine-tuned version of microsoft/phi-2 on the minghaowu/kill_that_reviewer 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 | 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]
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- **Shared by [optional]:** ... | {"language": ["en"], "license": "mit", "library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation"} | zon5000/MedLLM | null | [
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text-generation | transformers | # [MaziyarPanahi/Inex12Experiment26-7B-GGUF](https://huggingface.co/MaziyarPanahi/Inex12Experiment26-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Inex12Experiment26-7B](https://huggingface.co/automerger/Inex12Experiment26-7B)
## Description
[MaziyarPanahi/Inex... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment26-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generat... | MaziyarPanahi/Inex12Experiment26-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Inex12Experiment26-7B
## Description
MaziyarPanahi/Inex12Experiment26-7B-GGUF contains GGUF format model files for automerger/Inex12Experiment26-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on h... | [
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text-generation | transformers | I cut my TinyLlama 1.1B cinder v 2 down from 22 layers to 14. At 14 there was no coherent text but there were emerging ideas of a response.
I then trained on the Reason with Cinder dataset and prunned the model again to 11 layers and only emerging responses. I then trained on a subset of open orca, sharegpt, cinder ag... | {"license": "mit"} | Josephgflowers/Tinyllama-616M-Cinder | null | [
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| I cut my TinyLlama 1.1B cinder v 2 down from 22 layers to 14. At 14 there was no coherent text but there were emerging ideas of a response.
I then trained on the Reason with Cinder dataset and prunned the model again to 11 layers and only emerging responses. I then trained on a subset of open orca, sharegpt, cinder ag... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** quyennt
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quyennt/unsloth_vistralnq42_model | null | [
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# Uploaded model
- Developed by: quyennt
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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"} | Kukedlc/NeuralAlgo-7B-DPO | null | [
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text-generation | transformers | # [MaziyarPanahi/Experiment28Meliodas-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28Meliodas-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28Meliodas-7B](https://huggingface.co/automerger/Experiment28Meliodas-7B)
## Description
[MaziyarPan... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment28-7B", "base_model:AurelPx/Meliodas-7b-dare", "license:apache-2.0", "autotrain_compatible"... | MaziyarPanahi/Experiment28Meliodas-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28Meliodas-7B
## Description
MaziyarPanahi/Experiment28Meliodas-7B-GGUF contains GGUF format model files for automerger/Experiment28Meliodas-7B.
## How to use
Thanks to TheBloke for preparing an amazing REA... | [
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | kaiheilauser/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3380
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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": []} | dhyay/medphiv2 | 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 | transformers | ## About
static quants of https://huggingface.co/Kukedlc/NeuralKuke-4-All-7b
<!-- provided-files -->
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 ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/Neural-4-ARC-7b", "Kukedlc/Neural-4-Wino-7b", "Kukedlc/NeuralSirKrishna-7b", "Kukedlc/Neural-4-QA-7b", "Kukedlc/Neural-4-Maths-7b"], "base_model": "Kukedlc/NeuralKuke-4-All-7b", "quantize... | mradermacher/NeuralKuke-4-All-7b-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
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If you are unsure how to use GGUF file... | [] | [
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null | null | # RWKV-Lora
我闲来无事
| 模型 | 数据集 | 数据集类型 | 备注 |
| --- | --- | --- | --- |
| Qun | 晋江文学城 | 小说 | 1B5, 有点过拟合 | | {"license": "mit"} | YuChuXi/RWKV-Lora | null | [
"license:mit",
"region:us"
] | null | 2024-03-31T04:17:40+00:00 | [] | [] | TAGS
#license-mit #region-us
| RWKV-Lora
=========
我闲来无事
| [] | [
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] | [
9
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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": []} | kekunh/fine_tuned_llama2_7b | null | [
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## 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 |
# 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": []} | DeepJunior/distilbert-base-multilingual-cased-sentiments-student-fine-tuned-data-camp | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Alloyingotneoy-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Alloyingotneoy-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Alloyingotneoy-7B](https://huggingface.co/automerger/Strangemerges_32Alloyi... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Gille/StrangeMerges_32-7B-slerp", "base_model:nlpguy/AlloyIngotNeoY", "license:apache-2.0", "autotrain_compatib... | MaziyarPanahi/Strangemerges_32Alloyingotneoy-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Alloyingotneoy-7B
## Description
MaziyarPanahi/Strangemerges_32Alloyingotneoy-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Alloyingotneoy-7B.
## How to use
Thanks ... | [
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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": []} | nluai/phogpt_nlu2 | 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 | null | <center><strong><style="font-size:100px">Vesper Awol AI Voice Model<br>
[](https://huggingface.co/HinaBl/Vesper-Awol/resolve/main/VesperAwol_Image.png?download=true) | {"language": ["en"], "license": "openrail"} | HinaBl/Vesper-Awol | null | [
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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]
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## Model Details
### Model Description
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text-generation | transformers |
# RedPipe-7B-slerp
RedPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [Rakuten/RakutenAI-7B-chat](https://hu... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "Rakuten/RakutenAI-7B-chat"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "Rakuten/RakutenAI-7B-chat"]} | yusukewm/RedPipe-7B-slerp | null | [
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# RedPipe-7B-slerp
RedPipe-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* Rakuten/RakutenAI-7B-chat
## Configuration
## Usage
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | YoungPanda/REGBERTM3 | null | [
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# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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null | transformers | ## About
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
<!-- provided-files -->
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 Com... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["WhiteRabbitNeo/WRN-Chapter-1"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_3.1_SFT", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_Cyber_3.1_SFT-GGUF | null | [
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| About
-----
static quants of URL
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text-generation | transformers | # [MaziyarPanahi/MeliodasNeuralsirkrishna-7B-GGUF](https://huggingface.co/MaziyarPanahi/MeliodasNeuralsirkrishna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/MeliodasNeuralsirkrishna-7B](https://huggingface.co/automerger/MeliodasNeuralsirkrishna-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:AurelPx/Meliodas-7b-dare", "base_model:Kukedlc/NeuralSirKrishna-7b", "license:apache-2.0", "autotrain_compatibl... | MaziyarPanahi/MeliodasNeuralsirkrishna-7B-GGUF | null | [
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"l... | null | 2024-03-31T04:47:27+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/MeliodasNeuralsirkrishna-7B
## Description
MaziyarPanahi/MeliodasNeuralsirkrishna-7B-GGUF contains GGUF format model files for automerger/MeliodasNeuralsirkrishna-7B.
## How to use
Thanks to TheBloke for preparin... | [
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text-generation | transformers | This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project https://github.com/karpathy/llama2.c on both TinyStories and my own internal similar dataset I made.
It has been finetuned on a question answer set, without any preamble, you ask the question, give a newline, and ... | {"license": "cc-by-nc-sa-4.0", "datasets": ["roneneldan/TinyStories", "guanaco/guanaco_clean"]} | Corianas/MicroTask-mini-guanaco_200k | null | [
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| This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project URL on both TinyStories and my own internal similar dataset I made.
It has been finetuned on a question answer set, without any preamble, you ask the question, give a newline, and wait for the answer.
for it to s... | [] | [
"TAGS\n#transformers #pytorch #llama #text-generation #dataset-roneneldan/TinyStories #dataset-guanaco/guanaco_clean #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | basil-ahmad/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T04:56:53+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
audio-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. -->
# audio-voilence-detection
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "audio-voilence-detection", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "aud... | Hemg/audio-voilence-detection | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T04:59:33+00:00 | [] | [] | TAGS
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| audio-voilence-detection
========================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1588
* Accuracy: 0.9630
Model description
-----------------
More information needed
Intended uses & limi... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- 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
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | vdaita/diff-deepseek-6.7b-balanced-ds | null | [
"peft",
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- 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
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | null | License: Apache-2.0 license under the condition that the model is not used to compete with OpenAI (since that's what Nexusflow said)
This is a llamafile for [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta#starling-lm-7b-beta) quantized to q5-k-m.
Safetensors came directly from their [sourc... | {"license": "apache-2.0"} | gobean/Starling-LM-7B-beta.llamafile | null | [
"llamafile",
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"region:us"
] | null | 2024-03-31T05:02:55+00:00 | [] | [] | TAGS
#llamafile #license-apache-2.0 #region-us
| License: Apache-2.0 license under the condition that the model is not used to compete with OpenAI (since that's what Nexusflow said)
This is a llamafile for Starling-LM-7B-beta quantized to q5-k-m.
Safetensors came directly from their source,
converted to gguf and then quantized to q5-k-m with URL,
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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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod10
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xtreme_s"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod10", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Auto... | EzraWilliam/wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod10 | null | [
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| wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra\_William\_Prod10
=============================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the xtreme\_s dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5424
* Wer: 0.9609
Model de... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-multilingual-cased-on-custom-kural-500
This model is a fine-tuned version of [distilbert-base-multilingual-cased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased-on-custom-kural-500", "results": []}]} | bikram22pi7/distilbert-base-multilingual-cased-on-custom-kural-500 | null | [
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| distilbert-base-multilingual-cased-on-custom-kural-500
======================================================
This model is a fine-tuned version of distilbert-base-multilingual-cased on the custom 500 kural dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4608
* Accuracy: 0.91
Model des... | [
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null | transformers |
# Uploaded model
- **Developed by:** quyennt
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quyennt/gguf_unsloth_vistralnq42_q4_k_m | null | [
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|
# Uploaded model
- Developed by: quyennt
- License: apache-2.0
- Finetuned from model : Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# gemma-7b-it-finetuned-50steps
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "gemma-7b-it-finetuned-50steps", "results": []}]} | youngwook-kim/gemma-7b-it-finetuned-50steps | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google/gemma-7b-it",
"license:other",
"region:us"
] | null | 2024-03-31T05:15:19+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-google/gemma-7b-it #license-other #region-us
|
# gemma-7b-it-finetuned-50steps
This model is a fine-tuned version of google/gemma-7b-it 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 hyper... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment26Experiment24-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment26Experiment24-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment26Experiment24-7B](https://huggingface.co/automerger/Experiment26Experiment24-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:rwitz/experiment26-truthy-iter-2", "base_model:yam-peleg/Experiment24-7B", "license:cc-by-nc-4.0", "autotrain_c... | MaziyarPanahi/Experiment26Experiment24-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment26Experiment24-7B
## Description
MaziyarPanahi/Experiment26Experiment24-7B-GGUF contains GGUF format model files for automerger/Experiment26Experiment24-7B.
## How to use
Thanks to TheBloke for preparin... | [
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object-detection | null |
# Facial Emotion Detection, Age, and Gender Recognition with OpenCV
In this project, I have successfully trained and implemented a multi-faceted facial analysis system, combining state-of-the-art deep learning models with the powerful computer vision library, OpenCV. The system is designed to accurately detect faces ... | {"language": ["en"], "license": "mit", "pipeline_tag": "object-detection"} | Dhrumit1314/Live_Face_Detection | null | [
"object-detection",
"en",
"license:mit",
"region:us"
] | null | 2024-03-31T05:16:48+00:00 | [] | [
"en"
] | TAGS
#object-detection #en #license-mit #region-us
|
# Facial Emotion Detection, Age, and Gender Recognition with OpenCV
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"# Facial Emotion Detection, Age, and Gender Recognition with OpenCV\nIn this project, I have successfully trained and implemented a multi-faceted facial analysis system, combining state-of-the-art deep learning models with the powerful computer vision library, OpenCV. The system is designed to accurately detect fa... | [
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"TAGS\n#object-detection #en #license-mit #region-us \n# Facial Emotion Detection, Age, and Gender Recognition with OpenCV\nIn this project, I have successfully trained and implemented a multi-faceted facial analysis system, combining state-of-the-art deep learning models with the powerful computer vision library, ... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-samsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "s... | jiajunzhu/flan-t5-base-samsum | null | [
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| flan-t5-base-samsum
===================
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3538
* Rouge1: 47.6993
* Rouge2: 24.0887
* Rougel: 40.2819
* Rougelsum: 43.8375
* Gen Len: 17.0842
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
The 7B model of "SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens"
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** ... | {"license": "apache-2.0"} | ainergy/CodeLlama-SDSAT_L5_7B | null | [
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|
# Model Card for Model ID
The 7B model of "SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens"
## Model Details
### Model Description
- Developed by: ainergy
- Language(s) (NLP): Code
- Finetuned from model: CodeLlama-7B
### Model Sources
- Repository: 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": []} | Akiyoshi00/gpt_0.125B_global_step4600_openassistant | 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 | keras |
# SkimLit: NLP Model for Medical Abstracts
SkimLit is a natural language processing (NLP) project aimed at making the reading of medical abstracts more accessible. This project replicates the methodology outlined in the paper "PubMed 200K RCT: a Dataset for Sequenctial Sentence Classification in Medical Abstracts,"... | {"language": ["en"], "license": "mit"} | Dhrumit1314/SkimLit_NLP | null | [
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#keras #en #license-mit #region-us
|
# SkimLit: NLP Model for Medical Abstracts
SkimLit is a natural language processing (NLP) project aimed at making the reading of medical abstracts more accessible. This project replicates the methodology outlined in the paper "PubMed 200K RCT: a Dataset for Sequenctial Sentence Classification in Medical Abstracts,"... | [
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null | null | # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Visual-LaylelemonMaidRP-7B](https://huggingface.co/Nitral-AI/Visual-LaylelemonMaidRP-7B).
"My personal maid can't be this cute!"
**Recommended starting [SillyTavern presets here](https://huggingface.co/Lewdiculous/Eris_PrimeV... | {"license": "other", "tags": ["gguf", "quantized", "roleplay", "multimodal", "vision", "llava", "sillytavern", "merge", "mistral", "conversational"], "inference": false} | Lewdiculous/Visual-LaylelemonMaidRP-7B-GGUF-IQ-Imatrix | null | [
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#gguf #quantized #roleplay #multimodal #vision #llava #sillytavern #merge #mistral #conversational #license-other #region-us
| # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for Nitral-AI/Visual-LaylelemonMaidRP-7B.
"My personal maid can't be this cute!"
Recommended starting SillyTavern presets here.
This is a #multimodal model that also has #vision capabilities. <br> Read the full card information if you also... | [
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text-generation | transformers | <div align="center">
<h1>
Chinese-Mistral
</h1>
</div>
## 🎉 新闻
- [2024-04-04] 发布Chinese-Mistral指令精调模型。
- [2024-03-31] 发布Chinese-Mistral基座模型。
## 🚀 介绍
随着Mistral AI公司开源其七十亿参数模型[Mistral-7B](https://huggingface.co/meta-llama/Llama-2-7b-hf)，该模型超越[Llama](https://huggingface.co/meta-llama)，成为当前最强大的开源模型之一。... | {} | itpossible/Chinese-Mistral-7B-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T05:26:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Chinese-Mistral
=================
新闻
--
* [2024-04-04] 发布Chinese-Mistral指令精调模型。
* [2024-03-31] 发布Chinese-Mistral基座模型。
介绍
--
随着Mistral AI公司开源其七十亿参数模型Mistral-7B，该模型超越Llama，成为当前最强大的开源模型之一。Mistral-7B在各类基准测试中，不仅超过了Llama2-13B，而且在推理、数学、代码生成任务中超过Llama2-34B。
然而，Mistral-7B的训练语料主要为英文文本，其中文能力较为欠缺。其次，Mistral-7B的词表不支持中文，... | [
"### 模型综合能力\n\n\n我们采用C-Eval、CMMLU和MMLU三个评测数据集全面评估Chinese-Mistral-7B：\n\n\n* C-Eval：它是一个全面的中文基础模型评估套件。包含13948个多项选择题，涵盖52个学科和四个难度级别。它旨在评估模型在人文、社科、理工等多个学科大类上的知识和推理能力。\n* CMMLU：它是一个综合性的中文评估基准。涵盖了从基础学科到高级专业水平的67个主题。它专门用于评估语言模型在中文语境下的知识和推理能力。\n* MMLU：它是一个包含了57个子任务的英文评测数据集。涵盖了从初等数学、美国历史、计算机科学到法律等多个领域，难度覆盖高中水平到专家水平，有效地衡量了模... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment27Inex12-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment27Inex12-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment27Inex12-7B](https://huggingface.co/automerger/Experiment27Inex12-7B)
## Description
[MaziyarPanahi/Expe... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "base_model:yam-peleg/Experiment27-7B", "base_model:MSL7/INEX12-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible"... | MaziyarPanahi/Experiment27Inex12-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment27Inex12-7B
## Description
MaziyarPanahi/Experiment27Inex12-7B-GGUF contains GGUF format model files for automerger/Experiment27Inex12-7B.
## How to use
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null | null | Experimental self-Fine tunes + merge of my own
Fairly uncensored, and smart? IDK, ymmv. May sometimes filter but all it takes is one regen.
Handles negative and NSFW scenarios fine.
Testing samplers: 1.3 Temp, 0.1 min-P or just stick with Universal-Light sampler preset in Silly Tavern | {} | Sao10K/Skadi-Mixtral-v1-GGUF | null | [
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#gguf #region-us
| Experimental self-Fine tunes + merge of my own
Fairly uncensored, and smart? IDK, ymmv. May sometimes filter but all it takes is one regen.
Handles negative and NSFW scenarios fine.
Testing samplers: 1.3 Temp, 0.1 min-P or just stick with Universal-Light sampler preset in Silly Tavern | [] | [
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null | null | Quantized Version of
https://huggingface.co/Salesforce/SFR-Embedding-Mistral
---
license: cc-by-nc-4.0
---
| {} | AlenBadel/SFR-Embedding-Mistral-GGUF | null | [
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#gguf #region-us
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URL
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image-classification | keras | # Food Vision with EfficientNet
This repository contains the code for the Food Vision project using EfficientNet. The project involves building a deep learning model to classify food images into 101 different classes using the Food101 dataset.
## Project Overview
This project utilizes TensorFlow and EfficientNet fo... | {"language": ["en"], "license": "mit", "datasets": ["food101"], "pipeline_tag": "image-classification"} | Dhrumit1314/FoodVision_CV | null | [
"keras",
"image-classification",
"en",
"dataset:food101",
"license:mit",
"region:us"
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"en"
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#keras #image-classification #en #dataset-food101 #license-mit #region-us
| # Food Vision with EfficientNet
This repository contains the code for the Food Vision project using EfficientNet. The project involves building a deep learning model to classify food images into 101 different classes using the Food101 dataset.
## Project Overview
This project utilizes TensorFlow and EfficientNet fo... | [
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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. -->
# distil-bert-fintuned-issues-cfpb-complaints
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "distilbert/distilbert-base-uncased", "widget": [{"text": "it is absurd that i have consistently made timely payments for this account and have never been overdue. i kindly request that you ... | Mahesh9/distil-bert-fintuned-issues-cfpb-complaints | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-03-31T05:35:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distil-bert-fintuned-issues-cfpb-complaints
===========================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6711
* Accuracy: 0.7652
* Precision: 0.5935
* Recall: 0.5577
* F1... | [
"### 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",
"### Traini... | [
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp
<!-- provided-files -->
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 ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "MTSAIR/multi_verse_model"], "base_model": "allknowingroger/MultiverseEx26-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/MultiverseEx26-7B-slerp-GGUF | null | [
"transformers",
"gguf",
"merge",
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"license:apache-2.0",
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#transformers #gguf #merge #mergekit #lazymergekit #yam-peleg/Experiment26-7B #MTSAIR/multi_verse_model #en #base_model-allknowingroger/MultiverseEx26-7B-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... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #yam-peleg/Experiment26-7B #MTSAIR/multi_verse_model #en #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us \n"
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81
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] |
text-generation | transformers |
### Information
Uses ChatML, but Alpaca seems to work fine.
[**SillyTavern Presets**](https://huggingface.co/Virt-io/SillyTavern-Presets)
This is meant to be a smart RP model.
I did some unholy things to make the model load. (I removed all configs and replaced them with the ones from Hercules)
**Important**: When... | {"tags": ["mergekit", "merge", "mistral", "roleplay"]} | Virt-io/Helen-v1_7B | null | [
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"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"roleplay",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T05:40:48+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #roleplay #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Information
Uses ChatML, but Alpaca seems to work fine.
SillyTavern Presets
This is meant to be a smart RP model.
I did some unholy things to make the model load. (I removed all configs and replaced them with the ones from Hercules)
Important: When using this model it is necessary to include example messages,... | [
"### Information\n\nUses ChatML, but Alpaca seems to work fine.\n\nSillyTavern Presets\n\nThis is meant to be a smart RP model.\n\nI did some unholy things to make the model load. (I removed all configs and replaced them with the ones from Hercules)\n\nImportant: When using this model it is necessary to include exa... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #roleplay #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Information\n\nUses ChatML, but Alpaca seems to work fine.\n\nSillyTavern Presets\n\nThis is meant to be a smart RP model.\n\... |
text-generation | transformers |
# Uploaded model
- **Developed by:** Smuggling1710
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | Smuggling1710/An4-7Bv2.4 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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] | null | 2024-03-31T05:42:53+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: Smuggling1710
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Smuggling1710\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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