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null | null |
# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q8_0-GGUF
This model was converted to GGUF format from [`alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline`](https://huggingface.co/alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/... | {"license": "bigscience-bloom-rail-1.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "bigscience/bloom-1b7", "model-index": [{"name": "Bloom-1b7-creative-writing-IT", "results": []}]} | DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q8_0-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:bigscience/bloom-1b7",
"license:bigscience-bloom-rail-1.0",
"region:us"
] | null | 2024-04-15T01:37:49+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-bigscience/bloom-1b7 #license-bigscience-bloom-rail-1.0 #region-us
|
# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q8_0-GGUF
This model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke... | [
"# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q8_0-GGUF\nThis model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through b... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-bigscience/bloom-1b7 #license-bigscience-bloom-rail-1.0 #region-us \n",
"# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q8_0-GGUF\nThis model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using ... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | alexyhc/flan-t5-large-ds | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T01:38:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null |
# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q6_K-GGUF
This model was converted to GGUF format from [`alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline`](https://huggingface.co/alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/... | {"license": "bigscience-bloom-rail-1.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "bigscience/bloom-1b7", "model-index": [{"name": "Bloom-1b7-creative-writing-IT", "results": []}]} | DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q6_K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:bigscience/bloom-1b7",
"license:bigscience-bloom-rail-1.0",
"region:us"
] | null | 2024-04-15T01:40:00+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-bigscience/bloom-1b7 #license-bigscience-bloom-rail-1.0 #region-us
|
# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q6_K-GGUF
This model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke... | [
"# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q6_K-GGUF\nThis model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through b... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-bigscience/bloom-1b7 #license-bigscience-bloom-rail-1.0 #region-us \n",
"# DavidAU/Bloom-1b7-creative-writing-IT-baseline-Q6_K-GGUF\nThis model was converted to GGUF format from 'alonzogarbanzo/Bloom-1b7-creative-writing-IT-baseline' using ... | [
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null | null |
# DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF
This model was converted to GGUF format from [`FPHam/Writing_Partner_Mistral_7B`](https://huggingface.co/FPHam/Writing_Partner_Mistral_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "llama-cpp", "gguf-my-repo"]} | DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF | null | [
"gguf",
"mistral",
"instruct",
"finetune",
"chatml",
"gpt4",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T01:41:04+00:00 | [] | [
"en"
] | TAGS
#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF
This model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:... | [
"# DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server o... | [
"TAGS\n#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us \n",
"# DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the origin... | [
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"TAGS\n#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us \n# DavidAU/Writing_Partner_Mistral_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original mod... |
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. -->
# gemini-1.5-pro-gemma-rewrite-1024
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemini-1.5-pro-gemma-rewrite-1024", "results": []}]} | mooo16/gemini-1.5-pro-gemma-rewrite-1024 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-15T01:42:06+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
|
# gemini-1.5-pro-gemma-rewrite-1024
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0246
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation... | [
"# gemini-1.5-pro-gemma-rewrite-1024\n\nThis model is a fine-tuned version of google/gemma-2b on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0246",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## T... | [
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"# gemini-1.5-pro-gemma-rewrite-1024\n\nThis model is a fine-tuned version of google/gemma-2b on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss... | [
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us \n# gemini-1.5-pro-gemma-rewrite-1024\n\nThis model is a fine-tuned version of google/gemma-2b on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.02... |
text-generation | transformers |
# lust-7b
experimental rp model.
## prompt format
this one's a bit funky.
```
<|description|>Character
Character is blah blah blah</s>
<|description|>Character 2
Character 2 is blah blah blah (optional to make more than one)</s>
<|narrator|>
Describe what you want to happen in the scenario (I dont even know if this w... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "conversational", "trl", "unsloth"], "datasets": ["Fizzarolli/rpguild_processed", "Fizzarolli/bluemoon_processeed"]} | Fizzarolli/lust-7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"roleplay",
"conversational",
"trl",
"unsloth",
"en",
"dataset:Fizzarolli/rpguild_processed",
"dataset:Fizzarolli/bluemoon_processeed",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infe... | null | 2024-04-15T01:42:29+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #roleplay #conversational #trl #unsloth #en #dataset-Fizzarolli/rpguild_processed #dataset-Fizzarolli/bluemoon_processeed #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# lust-7b
experimental rp model.
## prompt format
this one's a bit funky.
sillytavern templates: TODO
## quants
gguf: URL (thanks @mradermacher!) | [
"# lust-7b\nexperimental rp model.",
"## prompt format\nthis one's a bit funky.\n\nsillytavern templates: TODO",
"## quants\ngguf: URL (thanks @mradermacher!)"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #roleplay #conversational #trl #unsloth #en #dataset-Fizzarolli/rpguild_processed #dataset-Fizzarolli/bluemoon_processeed #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# lust-7b\nexperimental ... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Generated using cagliostrolab/animagine-xl-3.0 -->
<!--Prompt: 1girl, black long hair, suit, headphone, write down, upper body, indoor, night, masterpiece, best quality -->
Fine tunned ASR model from [distil-whisper/distil-large-v2](https://huggingface.co... | {"language": ["ja", "en"], "library_name": "transformers", "datasets": ["reazon-research/reazonspeech", "joujiboi/japanese-anime-speech"], "metrics": ["cer"], "pipeline_tag": "automatic-speech-recognition"} | spow12/Visual-novel-transcriptor | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
"ja",
"en",
"dataset:reazon-research/reazonspeech",
"dataset:joujiboi/japanese-anime-speech",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-15T01:43:07+00:00 | [] | [
"ja",
"en"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #ja #en #dataset-reazon-research/reazonspeech #dataset-joujiboi/japanese-anime-speech #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
!image
Fine tunned ASR model from distil-whisper/distil-large-v2.
This model aimed to transcribe japanese audio especially visual novel.
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has bee... | [
"# Model Card for Model ID\n\n!image\n\n\n\n\n\nFine tunned ASR model from distil-whisper/distil-large-v2.\n\nThis model aimed to transcribe japanese audio especially visual novel.",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub... | [
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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?"}]}]} | frcp/jobtalks_llama_v1 | null | [
"transformers",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T01:43:20+00:00 | [] | [] | TAGS
#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
| [
"# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.",
"# Usage"
] | [
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] |
null | null |
# andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`yanolja/EEVE-Korean-2.8B-v1.0`](https://huggingface.co/yanolja/EEVE-Korean-2.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "microsoft/phi-2", "model-index": [{"name": "yanolja/EEVE-Korean-2.8B-v1.0", "results": []}]} | andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:microsoft/phi-2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T01:43:57+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-microsoft/phi-2 #license-apache-2.0 #region-us
|
# andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'yanolja/EEVE-Korean-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-microsoft/phi-2 #license-apache-2.0 #region-us \n",
"# andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the origi... | [
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"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-microsoft/phi-2 #license-apache-2.0 #region-us \n# andreass123/EEVE-Korean-2.8B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original mo... |
null | null |
# DavidAU/Writing_Partner_Mistral_7B-Q8_0-GGUF
This model was converted to GGUF format from [`FPHam/Writing_Partner_Mistral_7B`](https://huggingface.co/FPHam/Writing_Partner_Mistral_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "llama-cpp", "gguf-my-repo"]} | DavidAU/Writing_Partner_Mistral_7B-Q8_0-GGUF | null | [
"gguf",
"mistral",
"instruct",
"finetune",
"chatml",
"gpt4",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T01:44:46+00:00 | [] | [
"en"
] | TAGS
#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/Writing_Partner_Mistral_7B-Q8_0-GGUF
This model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:... | [
"# DavidAU/Writing_Partner_Mistral_7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server o... | [
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text-generation | transformers | # What is is?
A MoE model for Roleplaying. Since 7B model is small enough, we can combine them to a bigger model (Which CAN be smarter).
Adapte (some limited) TSF (Trans Sexual Fiction) content because I have include my pre-train model in.
Worse than V1 in logic, but better in expression.
# GGUF Version?
[Here](htt... | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "roleplay", "Roleplay"], "base_model": ["Alsebay/NarumashiRTS-V2", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "Nitral-AI/KukulStanta-7B"]} | Alsebay/NaruMOE-3x7B-v2 | null | [
"transformers",
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"mixtral",
"text-generation",
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"roleplay",
"Roleplay",
"base_model:Alsebay/NarumashiRTS-V2",
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"base_model:Nitral-AI/KukulStanta-7B",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compati... | null | 2024-04-15T01:44:57+00:00 | [] | [] | TAGS
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| # What is is?
A MoE model for Roleplaying. Since 7B model is small enough, we can combine them to a bigger model (Which CAN be smarter).
Adapte (some limited) TSF (Trans Sexual Fiction) content because I have include my pre-train model in.
Worse than V1 in logic, but better in expression.
# GGUF Version?
Here
# Rec... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
## General information about the project:
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). It controls a robotic arm to pick up balls.
### What I did:
Manually tu... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | daenielkim-66/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T01:44:57+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
## General information about the project:
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library. It controls a robotic arm to pick up balls.
### What I did:
Manually tuned hyperparameters by adding "learning_rate=0.0007, n_steps=5,... | [
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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 Small Cantonese - Daniel Chan
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Cantonese - Daniel Chan", "results": [{"task": {"type": "automatic-speech-recognition"... | chandc/whisper-small-Cantonese | null | [
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"zh",
"dataset:mozilla-foundation/common_voice_11_0",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T01:45:12+00:00 | [] | [
"zh"
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| Whisper Small Cantonese - Daniel Chan
=====================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2611
* Wer: 55.8860
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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. -->
# sft-microsoft-phi2-on-dialogsum
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) ... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "sft-microsoft-phi2-on-dialogsum", "results": []}]} | agitohere/sft-microsoft-phi2-on-dialogsum | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-15T01:45:40+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| sft-microsoft-phi2-on-dialogsum
===============================
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3639
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 10\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/orpo-explorers/mistral-7b-orpo-v3.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/distilabel-capybara-dpo-7k-binarized", "HuggingFaceH4/OpenHermesPreferences-10k"], "base_model": "or... | mradermacher/mistral-7b-orpo-v3.0-GGUF | null | [
"transformers",
"gguf",
"alignment-handbook",
"trl",
"orpo",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/distilabel-capybara-dpo-7k-binarized",
"dataset:HuggingFaceH4/OpenHermesPreferences-10k",
"base_model:orpo-explorers/mistral-7b-orpo-v3.0",
"license:apache-2.0",
"endpoints_compa... | null | 2024-04-15T01:45:47+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #alignment-handbook #trl #orpo #generated_from_trainer #en #dataset-HuggingFaceH4/distilabel-capybara-dpo-7k-binarized #dataset-HuggingFaceH4/OpenHermesPreferences-10k #base_model-orpo-explorers/mistral-7b-orpo-v3.0 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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110
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | BWangila/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-15T01:46:29+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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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": []} | Erfan-Shayegani/llama2-lora_Unlearned_bad_weight_5e-2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T01:47:38+00:00 | [
"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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null | null |
# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`yanolja/EEVE-Korean-Instruct-2.8B-v1.0`](https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Re... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "yanolja/EEVE-Korean-2.8B-v1.0", "model-index": [{"name": "yanolja/EEVE-Korean-Instruct-2.8B-v1.0", "results": []}]} | andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:yanolja/EEVE-Korean-2.8B-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T01:48:34+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us
|
# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server o... | [
"# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke ... | [
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"# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-2.8B-v1.0' using URL via the URL's GGUF-... | [
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"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us \n# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-2.8B-v1.0' using URL via the URL's GGUF-my-rep... |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | ashwanth18/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T01:50:24+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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": []} | harikrishnad1997/emotion_tweet_t5-base_2024-04-15 | null | [
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw2.25 | null | [
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#transformers #safetensors #qwen2 #text-generation #sft #dpo #conversational #de #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
"### Training procedure:\n\n\n* We trained this model for 2 epochs on 160k data samples with SFT.\n* Afterwards we applied DPO for 1 epoch with 110k data.\n* LaserRMT version coming soon\n\n\nWe teached German language skills on this model. As far as we know, it is the first Qwen 32B model with bilingual skills in ... | [
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null | null |
# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`yanolja/EEVE-Korean-Instruct-2.8B-v1.0`](https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refe... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "yanolja/EEVE-Korean-2.8B-v1.0", "model-index": [{"name": "yanolja/EEVE-Korean-Instruct-2.8B-v1.0", "results": []}]} | andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q8_0-GGUF | null | [
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#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us
|
# andreass123/EEVE-Korean-Instruct-2.8B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-2.8B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or ... | [
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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. -->
# bert-finetuned-ner-accelerate1
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner-accelerate1", "results": []}]} | BrandonM001/bert-finetuned-ner-accelerate1 | null | [
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"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner-accelerate1
==============================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0660
* Precision: 0.9330
* Recall: 0.9512
* F1: 0.9420
* Accuracy: 0.9869
Model description
----------------... | [
"### 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",
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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. -->
# TSC_classification_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "TSC_classification_model", "results": []}]} | SiriusW/TSC_classification_model | null | [
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| TSC\_classification\_model
==========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0442
* Precision: 0.8034
* Recall: 0.7769
* F1: 0.7899
* Accuracy: 0.9944
Model description
-----... | [
"### 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: 12",
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sentence-similarity | sentence-transformers |
# Santp98/SBERT-pairs-bert-base-spanish-wwm-cased-2023-11-13-22-45
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentenc... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["Santp98/query_generated-title-secop2"], "pipeline_tag": "sentence-similarity"} | Santp98/SBERT-pairs-bert-base-spanish-wwm-cased-2023-11-13-22-45 | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #dataset-Santp98/query_generated-title-secop2 #endpoints_compatible #region-us
|
# Santp98/SBERT-pairs-bert-base-spanish-wwm-cased-2023-11-13-22-45
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you hav... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | SaiSaketh/my_awesome_qa_model | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1231
* Accuracy: 0.69
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [gotchachurchkhela/SN6-23](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["gotchachurchkhela/SN6-23", "tom-brady/sn6_200"]} | Sumail/Ame1 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* gotchachurchkhela/SN6-23
* tom-brady/sn6_200
### Configuration
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zzttbrdd/sn6_6m | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | null | # lust 7b
yeah yeah you get the drill its just the gargamels. proper quantizations coming sometime soon | {"license": "apache-2.0"} | Fizzarolli/lust-7b-GGUF | null | [
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#gguf #license-apache-2.0 #region-us
| # lust 7b
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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": []} | yongsun-shim/eeve-8bit-test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [gotchachurchkhela/SN6-23](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["gotchachurchkhela/SN6-23", "GamblerOnTrain/danke20a"]} | Sumail/Ame2 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* gotchachurchkhela/SN6-23
* GamblerOnTrain/danke20a
### Configuration
The follow... | [
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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. -->
# ruBert-base-sberquad-0.005-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-for... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-filtered | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-filtered
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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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?"}]}]} | shaswatamitra/llama2-7b-chat-hf-finetuned2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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. -->
# bert-finetuned-ner2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner2", "results": []}]} | BrandonM001/bert-finetuned-ner2 | null | [
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"endpoints_compatible",
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| bert-finetuned-ner2
===================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0603
* Precision: 0.9332
* Recall: 0.9517
* F1: 0.9423
* Accuracy: 0.9864
Model description
-----------------
More information n... | [
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text-to-image | diffusers |
# Photography LoRA (XL)
<Gallery />
![image/png](https://cdn-uploads.huggingf... | {"language": ["en"], "license": "openrail++", "library_name": "diffusers", "tags": ["stable-diffusion", "lora", "sdxl"], "pipeline_tag": "text-to-image", "base_model": "stabilityai/stable-diffusion-xl-base-1.0"} | f0ster/PhotographyLoRA | null | [
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"stable-diffusion",
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"text-to-image",
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us",
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#diffusers #stable-diffusion #lora #sdxl #text-to-image #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us #has_space
|
# Photography LoRA (XL)
<Gallery />
!image/png
!image/png
!image/png
!image/png
## Model description
PhotographyLoRa is trained with the Stable-Diffusion-xl base checkpoint
Base Model: SDXL 1.0
Training
STEPS: 1,445
EPOCHS: 10
Usage Tips
CLIP SKIP: 1
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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": []} | ai-er/llama-2-medi-dialog-mini-finetuned | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="anologicon/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | anologicon/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# karasu-1.1B-linear2
karasu-1.1B-merge1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lightblue/karasu-1.1B](https://huggingface.co/lightblue/karasu-1.1B)
* [niryuu/Karasu-1.1b-chat-vector](https://huggingface.co/nir... | {"tags": ["merge", "mergekit", "lazymergekit", "lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"], "base_model": ["lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"]} | aipib/karasu-1.1B-linear2 | null | [
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|
# karasu-1.1B-linear2
karasu-1.1B-merge1 is a merge of the following models using LazyMergekit:
* lightblue/karasu-1.1B
* niryuu/Karasu-1.1b-chat-vector
## Configuration
## Usage
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text-generation | transformers | """this is my second attempt at converting a model float16 quantized model to 1.5bit. i used my model liminerity/M7-7b for the base model and
trained on: abideen/cosmopedia-100k-pretain dataset and used his google colab project to make this"""
#EXAMPLE INFERENCE CODE FROM ABIDEEN'S COLAB PROJECT
```
from transformers... | {"tags": ["Mistral", "1bit", "bitnet", "abideen", "M7", "Liminerity"], "datasets": ["abideen/Cosmopedia-100k-pretrain"]} | liminerity/Bitnet-M7-70m | null | [
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"region:us"
] | null | 2024-04-15T02:21:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Mistral #1bit #bitnet #abideen #M7 #Liminerity #dataset-abideen/Cosmopedia-100k-pretrain #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| """this is my second attempt at converting a model float16 quantized model to 1.5bit. i used my model liminerity/M7-7b for the base model and
trained on: abideen/cosmopedia-100k-pretain dataset and used his google colab project to make this"""
#EXAMPLE INFERENCE CODE FROM ABIDEEN'S COLAB PROJECT
| [] | [
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] |
text-generation | transformers |
# Used dataset for fine-tuning
- sahil2801/CodeAlpaca-20k
- m-a-p/CodeFeedback-Filtered-Instruction | {"license": "apache-2.0"} | upstage/TinySolar-248m-4k-code-instruct | null | [
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# Used dataset for fine-tuning
- sahil2801/CodeAlpaca-20k
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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": []} | tom-brady/sn6_247 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T02:21:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers | <div style="width: 100%;">
<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" style="width: 20%; display: block; margin: auto;">
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font>
</p>
<p align="center">
🌐 <a href="https://tigerbot.c... | {"license": "apache-2.0"} | TigerResearch/tigerbot-70b-chat-v6-4bit-exl2 | null | [
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"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <div style="width: 100%;">
<img src="URL alt="TigerBot" style="width: 20%; display: block; margin: auto;">
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font>
</p>
<p align="center">
<a href="URL target="_blank">TigerBot</a> • <a href="URL target="_blank"... | [
"## How to download and use this model in github: URL\n\nHere are commands to clone the TigerBot and install.\n\n\n\nInference with command line interface\n\ninfer with exllamav2"
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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. -->
# DS-6.7B-schema_2
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepsee... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "model-index": [{"name": "DS-6.7B-schema_2", "results": []}]} | jdeklerk10/DS-6.7B-schema_2 | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:deepseek-ai/deepseek-coder-6.7b-instruct",
"license:other",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-deepseek-ai/deepseek-coder-6.7b-instruct #license-other #region-us
| DS-6.7B-schema\_2
=================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1718
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | yongsun-shim/eeve-4bit-test | null | [
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"conversational",
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"endpoints_compatible",
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"4-bit",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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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... | ahforoughi/PPO-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T02:28:38+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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] |
text-generation | transformers | # Vezora/Mistral-22B-v0.1 AWQ
- Model creator: [Vezora](https://huggingface.co/Vezora)
- Original model: [Mistral-22B-v0.2](https://huggingface.co/Vezora/Mistral-22B-v0.2)
## Model Summary
- Just two days after our release of **Mistral-22b-v0.1**, we are excited to introduce our handcrafted experimental model, **Mis... | {"language": ["en"], "license": "apache-2.0", "tags": ["quantized", "4-bit", "AWQ", "autotrain_compatible", "endpoints_compatible", "text-generation-inference"], "model_name": "Mistral-22B-v0.2", "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model_creator": "Vezora", "model_type": "mistral", "pipeline_tag": "t... | solidrust/Mistral-22B-v0.2-AWQ | null | [
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"quantized",
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"AWQ",
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"en",
"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"region:us"
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| # Vezora/Mistral-22B-v0.1 AWQ
- Model creator: Vezora
- Original model: Mistral-22B-v0.2
## Model Summary
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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. -->
# test_trainer
This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-chinese", "model-index": [{"name": "test_trainer", "results": []}]} | Extrabass/test_trainer | null | [
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| test\_trainer
=============
This model is a fine-tuned version of google-bert/bert-base-chinese on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0253
* Accuracy: 0.9973
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ibivibiv/collosus_120b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/collosus_120b-GGUF... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ibivibiv/collosus_120b", "quantized_by": "mradermacher"} | mradermacher/collosus_120b-i1-GGUF | null | [
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"gguf",
"en",
"base_model:ibivibiv/collosus_120b",
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"en"
] | TAGS
#transformers #gguf #en #base_model-ibivibiv/collosus_120b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null | LoRA adapter files for https://huggingface.co/tdrussell/Mixtral-8x22B-Capyboros-v1 | {"license": "apache-2.0"} | tdrussell/Mixtral-8x22B-Capyboros-v1-lora | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T02:30:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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null | null |
q4_k_s quant for https://huggingface.co/tdrussell/Mixtral-8x22B-Capyboros-v1. These files are split using the gguf-split tool. If you want to recombine them to single file, you MUST use that tool, NOT cat. | {"license": "apache-2.0"} | tdrussell/Mixtral-8x22B-Capyboros-v1-GGUF-q4_k_s | null | [
"gguf",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T02:32:22+00:00 | [] | [] | TAGS
#gguf #license-apache-2.0 #region-us
|
q4_k_s quant for URL These files are split using the gguf-split tool. If you want to recombine them to single file, you MUST use that tool, NOT cat. | [] | [
"TAGS\n#gguf #license-apache-2.0 #region-us \n"
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17
] | [
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null | null | <div style="width: 100%;">
<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" style="width: 20%; display: block; margin: auto;">
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font>
</p>
<p align="center">
🌐 <a href="https://tigerbot.c... | {"license": "apache-2.0"} | TigerResearch/tigerbot-13b-chat-v6-4bit-exl2 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T02:33:01+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| <div style="width: 100%;">
<img src="URL alt="TigerBot" style="width: 20%; display: block; margin: auto;">
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edge foundation for your very own LLM. </font>
</p>
<p align="center">
<a href="URL target="_blank">TigerBot</a> • <a href="URL target="_blank"... | [
"## How to download and use this model in github: URL\n\nHere are commands to clone the TigerBot and install.\n\n\n\nInference with command line interface\n\ninfer with exllamav2"
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"TAGS\n#license-apache-2.0 #region-us \n",
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/m3bryby | null | [
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"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# This is prediction for Suicide and Non-Suicide: Label-1 is Suicide and Label-0 is Non-Suicide.
# Transformers_Project
This mode... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-cased", "model-index": [{"name": "Transformers_Project", "results": []}]} | MuradA/Transformers_Project | null | [
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| This is prediction for Suicide and Non-Suicide: Label-1 is Suicide and Label-0 is Non-Suicide.
==============================================================================================
Transformers\_Project
=====================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
I... | [
"### 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: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-to-speech | tensorflowtts |
# LightSpeech MFA SW v1
LightSpeech MFA SW v1 is a text-to-mel-spectrogram model based on the [LightSpeech](https://arxiv.org/abs/2102.04040) architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
- sw-KE-OpenBible
We trained an acoustic Swahili model on our sp... | {"language": "sw", "license": "cc-by-sa-4.0", "tags": ["tensorflowtts", "audio", "text-to-speech", "text-to-mel"], "datasets": ["bookbot/OpenBible_Swahili"], "inference": false} | bookbot/lightspeech-mfa-sw-v1 | null | [
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| LightSpeech MFA SW v1
=====================
LightSpeech MFA SW v1 is a text-to-mel-spectrogram model based on the LightSpeech architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
* sw-KE-OpenBible
We trained an acoustic Swahili model on our speech corpus us... | [
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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. -->
# outputs
This model is a fine-tuned version of [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma-1.1-7b-it) on an unkn... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-1.1-7b-it", "model-index": [{"name": "outputs", "results": []}]} | aidiary/gemma-7b-finetune-gozarinnemon | null | [
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|
# outputs
This model is a fine-tuned version of google/gemma-1.1-7b-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 hyperparameters
The fo... | [
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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": "vilsonrodrigues/falcon-7b-instruct-sharded"} | deepaknh/falcon7B_FineTuning_ReExperiment_1_QLORA_7perParam_ILR_increased_v4 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | APLunch/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-to-speech | tensorflowtts |
# MB-MelGAN HiFi PostNets SW v1
MB-MelGAN HiFi PostNets SW v1 is a mel-to-wav model based on the [MB-MelGAN](https://arxiv.org/abs/2005.05106) architecture with [HiFi-GAN](https://arxiv.org/abs/2010.05646) discriminator. This model was trained from scratch on a synthetic audio dataset. Instead of training on ground t... | {"language": "sw", "license": "cc-by-sa-4.0", "tags": ["tensorflowtts", "audio", "text-to-speech", "mel-to-wav"], "datasets": ["bookbot/OpenBible_Swahili"], "inference": false} | bookbot/mb-melgan-hifi-postnets-sw-v1 | null | [
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"arxiv:2005.05106",
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| MB-MelGAN HiFi PostNets SW v1
=============================
MB-MelGAN HiFi PostNets SW v1 is a mel-to-wav model based on the MB-MelGAN architecture with HiFi-GAN discriminator. This model was trained from scratch on a synthetic audio dataset. Instead of training on ground truth waveform spectrograms, this model was t... | [
"# Hop size.\nformat: \"npy\"\n\n```\n\n\n\nGenerator Network Architecture Setting\n\n```\nmodel_type: \"multiband_melgan_generator\"\n\nmultiband_melgan_generator_params:\n out_channels: 4 # Number of output channels (number of subbands).\n kernel_size: 7 # Kernel size of initial and final conv layers.\n ... | [
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text-generation | transformers |
# NeuralStar_AlphaWriter_4x7b
I was blown away by the writing results I was getting from mlabonne/Beyonder-4x7B-v3 while writing in [NovelCrafter](https://www.novelcrafter.com).
Inspired by his [LL... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "OmnicromsBrain/NeuralStar-7b-Lazy"], "base_model": ["mlabonne/AlphaMonarch-7B", "FPHam/Karen_TheEditor_V2_STRICT_Mist... | OmnicromsBrain/NeuralStar_AlphaWriter_4x7b | null | [
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!image/png
# NeuralStar_AlphaWriter_4x7b
I was blown away by the writing results I was getting from mlabonne/Beyonder-4x7B-v3 while writing in NovelCrafter.
Inspired by his LLM Course and fueled by his LazyMergeKit.
I couldnt help but wonder what a writing model would be like if all 4 “experts” excelled in creative... | [
"# NeuralStar_AlphaWriter_4x7b\n\nI was blown away by the writing results I was getting from mlabonne/Beyonder-4x7B-v3 while writing in NovelCrafter.\n\nInspired by his LLM Course and fueled by his LazyMergeKit.\nI couldnt help but wonder what a writing model would be like if all 4 “experts” excelled in creative wr... | [
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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. -->
# LLama_music_generator
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2... | {"tags": ["trl", "sft", "missing lyric Llama2", "generated_from_trainer", "missing lyric Llama2 1"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "LLama_music_generator", "results": []}]} | ShushantLLM/LLama_music_generator | null | [
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"missing lyric Llama2 1",
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"region:us"
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|
# LLama_music_generator
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
"# LLama_music_generator\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training pr... | [
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text-generation | transformers | Model quantized using a modified [EETQ](https://github.com/NetEase-FuXi/EETQ) repo. Currently working on
decoupling its kernels from CUTLASS to make this a bit easier to use.
8bits. | {} | alpindale/Mistral-7B-Instruct-v0.2-EETQ | null | [
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| Model quantized using a modified EETQ repo. Currently working on
decoupling its kernels from CUTLASS to make this a bit easier to use.
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text-generation | transformers |
# Multi_verse_modelExperiment26-7B
Multi_verse_modelExperiment26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [yam-peleg/Experiment26-7B](https://huggingface.co/y... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MTSAIR/multi_verse_model", "yam-peleg/Experiment26-7B"]} | automerger/Multi_verse_modelExperiment26-7B | null | [
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"text-gen... | null | 2024-04-15T02:49:52+00:00 | [] | [] | TAGS
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|
# Multi_verse_modelExperiment26-7B
Multi_verse_modelExperiment26-7B is an automated merge created by Maxime Labonne using the following configuration.
* MTSAIR/multi_verse_model
* yam-peleg/Experiment26-7B
## Configuration
## Usage
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Yellow514/sd-class-butterfl... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Yellow514/sd-class-butterflies-32 | null | [
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"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-15T02:51:34+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemini-all-data20240415_025230
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) o... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemini-all-data20240415_025230", "results": []}]} | mooo16/gemini-all-data20240415_025230 | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-15T02:52:48+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
|
# gemini-all-data20240415_025230
This model is a fine-tuned version of google/gemma-2b 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 hyperpa... | [
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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-MIT
This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/M... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "MIT/ast-finetuned-audioset-10-10-0.4593", "model-index": [{"name": "dangerous-heartbeat-MIT", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "datas... | Hemg/dangerous-heartbeat-MIT | null | [
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"safetensors",
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"license:bsd-3-clause",
"model-index",
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| dangerous-heartbeat-MIT
=======================
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended... | [
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null | 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. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the ... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | sanya94/segformer-b0-scene-parse-150 | null | [
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] | null | 2024-04-15T02:59:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #generated_from_trainer #dataset-scene_parse_150 #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
| segformer-b0-scene-parse-150
============================
This model is a fine-tuned version of nvidia/mit-b0 on the scene\_parse\_150 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9069
* Mean Iou: 0.0635
* Mean Accuracy: 0.1208
* Overall Accuracy: 0.4617
* Per Category Iou: [0.4192871... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw2.5 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
"### Training procedure:\n\n\n* We trained this model for 2 epochs on 160k data samples with SFT.\n* Afterwards we applied DPO for 1 epoch with 110k data.\n* LaserRMT version coming soon\n\n\nWe teached German language skills on this model. As far as we know, it is the first Qwen 32B model with bilingual skills in ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | Taf2023/mergekit-slerp-xvskemx | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T03:03:18+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# style-dailymed-from-facebook
This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b)... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "facebook/opt-2.7b", "model-index": [{"name": "style-dailymed-from-facebook", "results": []}]} | RuoxiL/style-dailymed-from-facebook | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:facebook/opt-2.7b",
"license:other",
"region:us"
] | null | 2024-04-15T03:05:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-2.7b #license-other #region-us
|
# style-dailymed-from-facebook
This model is a fine-tuned version of facebook/opt-2.7b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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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. -->
# MLMA_Lab_8_GPT_model_Task5
This model was trained from scratch on the None dataset.
It achieves the following results on the eva... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "MLMA_Lab_8_GPT_model_Task5", "results": []}]} | shubhanmathur/MLMA_Lab_8_GPT_model_Task5 | null | [
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| MLMA\_Lab\_8\_GPT\_model\_Task5
===============================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1759
* Precision: 0.5233
* Recall: 0.6157
* F1: 0.5657
* Accuracy: 0.9544
Model description
-----------------
More informati... | [
"### 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",
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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. -->
# spark-name-ja-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-ja-en", "model-index": [{"name": "spark-name-ja-to-en", "results": []}]} | ihebaker10/spark-name-ja-to-en | null | [
"transformers",
"safetensors",
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"endpoints_compatible",
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| spark-name-ja-to-en
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7365
* Bleu: 17.2754
* Gen Len: 6.3357
japan Names to English Translation Model
========================================
... | [
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feature-extraction | transformers |
# usage
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
path = "mssma/ko-solar-10.7b-v0.1"
model = AutoModelForCausalLM.from_pretrained(
path,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(path)... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | mssma/ko-solar-10.7b-v0.1 | null | [
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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. -->
# my_translator
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the gener... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["generator"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "my_translator", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "genera... | jsphelps12/my_translator | null | [
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| my\_translator
==============
This model is a fine-tuned version of google-t5/t5-small on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3036
* Bleu: 20.6458
* Gen Len: 18.52
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-800k-epoch3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["Lichang-Chen/800k_ift"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-800k-epoch3", "results": []}]} | Lichang-Chen/zephyr-7b-sft-800k-epoch3 | null | [
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| zephyr-7b-sft-800k-epoch3
=========================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the Lichang-Chen/800k\_ift dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2540
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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... | WharfRat/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T03:14:58+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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] |
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": []} | Ruiz3/phi-2-kingshipAIv5-interpreter | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T03:18:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
## Model Details
공개된 한국어, 영어 데이터셋으로 파인튜닝하였습니다.
### Model Description
BASE MODEL : [mistralai/Mistra... | {"language": ["ko", "en"], "license": "apache-2.0", "library_name": "transformers"} | CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2 | null | [
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"en",
"license:apache-2.0",
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-15T03:21:59+00:00 | [] | [
"ko",
"en"
] | TAGS
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
## Model Details
공개된 한국어, 영어 데이터셋으로 파인튜닝하였습니다.
### Model Description
BASE MODEL : mistralai/Mistral-7B-Instruct-v0.2
- fine-tuned the mistralai/Mistral-7B-Instruct-v0.2 model.
This model is fine-tuned on the Mistral-7B-Instruct-v0.2 to enhance its p... | [
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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?"}]}]} | shaswatamitra/mistral-7b-v2-finetuned2 | null | [
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"autotrain",
"text-generation-inference",
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"conversational",
"license:other",
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"region:us"
] | null | 2024-04-15T03:23:15+00:00 | [] | [] | TAGS
#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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad2", "results": []}]} | vubacktracking/distilbert-base-uncased-finetuned-squad2 | null | [
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"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T03:25:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# distilbert-base-uncased-finetuned-squad2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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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/zcotlf7 | null | [
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"conversational",
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] | null | 2024-04-15T03:26:23+00:00 | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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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. -->
# pythia-160m-v0-finetuned-squad
This model is a fine-tuned version of [EleutherAI/pythia-160m-v0](https://huggingface.co/Eleuther... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m-v0", "model-index": [{"name": "pythia-160m-v0-finetuned-squad", "results": []}]} | K-kiron/pythia-160m-v0-finetuned-squad | null | [
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| pythia-160m-v0-finetuned-squad
==============================
This model is a fine-tuned version of EleutherAI/pythia-160m-v0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.7825
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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. -->
# mistralv1_lora_r8_2e4_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r8_2e4_e3", "results": []}]} | fangzhaoz/mistralv1_lora_r8_2e4_e3 | null | [
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|
# mistralv1_lora_r8_2e4_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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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": []} | fangzhaoz/mistralv1_lora_r8_2e4_e3_merged | null | [
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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. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | adil0101/mistral_instruct_generation | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6546
Model description
-----------------
More information needed
Intended uses & lim... | [
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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": []} | thienan092/mistral_7b_thienan | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [beowolx/CodeNinja-1.0-OpenChat-7B](https://... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beowolx/CodeNinja-1.0-OpenChat-7B", "beowolx/MistralHermes-CodePro-7B-v1"]} | K00B404/BagOClownCoders-slerp-7B | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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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": []} | Yasusan/Llama2_121 | 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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/Mistra... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beowolx/MistralHermes-CodePro-7B-v1", "beowolx/CodeNinja-1.0-OpenChat-7B", "teknium/OpenHermes-2.5-Mistral-7B"]} | K00B404/BagOClownCoders-ties-7B | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
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### Models Merged
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_14 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Original Model Card
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<p align="left">
<img src="https://huggingface.co/yanolja/EEVE-Korean-Instru... | {"license": "apache-2.0", "base_model": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0"} | maywell/EEVE-Korean-Instruct-10.8B-v1.0-32k | null | [
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| Original Model Card
===================
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
EEVE-Korean-Instruct-10.8B-v1.0
===============================
Join Our Community on Discord!
------------------------------
If you're passionate about the field of Large Language Models a... | [
"### Example Output",
"### Training Data\n\n\n* Korean-translated version of Open-Orca/SlimOrca-Dedup\n* Korean-translated version of argilla/ultrafeedback-binarized-preferences-cleaned\n* No other dataset was used\n\n\nOpen LLM Leaderboard Evaluation Results\n=======================================\n\n\nDetailed... | [
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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-chinese
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator d... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-chinese", "results": []}]} | kaierlong/gemma-chinese | null | [
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|
# gemma-chinese
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The ... | [
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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": []} | thusinh1969/LLaMA-2-finetune-50k-checkpoint28100-ep1.42 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [K00B404/Merged_Beowolx-CodePro_Medusa2-14X-7B-Mistral-I-v0-2](https://hugg... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["K00B404/Merged_Beowolx-CodePro_Medusa2-14X-7B-Mistral-I-v0-2", "Nexusflow/Starling-LM-7B-beta", "beowolx/CodeNinja-1.0-OpenChat-7B"]} | K00B404/BagOMistral_14X_Coders-ties-7B | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using K00B404/Merged_Beowolx-CodePro_Medusa2-14X-7B-Mistral-I-v0-2 as a base.
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The following models were included in the merge:
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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": []} | SuperPowerMz/Mistral-7B-QLoRA-Peft | null | [
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image-text-to-text | transformers |
4-bit AWQ-quantized version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b). Refer to the original model's card for more information (including inference snippet).
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mratcheva/crsmgr_bert_distr_gen | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
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. -->
# ruBert-base-sberquad-0.005-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-filtered-negative | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-15T04:00:52+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# ruBert-base-sberquad-0.005-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",... | [
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"# ruBert-base-sberquad-0.005-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.005-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information needed## In... |
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