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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": []} | liquid9212/1rtdb86 | null | [
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# Model Card for Model ID
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null | transformers |
# Uploaded model
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- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugging... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_iter_1", "results": []}]} | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_1 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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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. -->
# GUE_EMP_H3K9ac-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_46M-L8_f | null | [
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| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_46M-L8\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
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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": []} | harir/mistral-7b-instruct-v0.1-review-toxicity | null | [
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null | peft |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_EMP_H3K9ac-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_46M-L32\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4608
* F1 Score: 0.... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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"text-generation-inference",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# griffin-llama3t-8L-v0.02-fineweb
Pretraining experiment with griffin/recurrent_gemma arch. This one uses the Llama-3 tokenizer.
## Model description
Further training of [pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu](https://huggingface.co/pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu) on the BEE-sp... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["BEE-spoke-data/fineweb-1M_en-med"], "metrics": ["accuracy"], "base_model": "pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu", "model-index": [{"name": "griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-vN", ... | pszemraj/griffin-llama3t-8L-v0.02-fineweb | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
... | null | 2024-04-26T21:06:07+00:00 | [] | [
"en"
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| griffin-llama3t-8L-v0.02-fineweb
================================
Pretraining experiment with griffin/recurrent\_gemma arch. This one uses the Llama-3 tokenizer.
Model description
-----------------
Further training of pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu on the BEE-spoke-data/fineweb-1M\_en-med da... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 80085\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.99) and epsil... | [
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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": []} | Hajas0/hun_emotion_modifier | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T21:06:58+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 | 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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T21:11:47+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_46M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5973
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_46M-L1_f | null | [
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"generated_from_trainer",
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"region:us"
] | null | 2024-04-26T21:11:47+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_46M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5650
* F1 Score: 0... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AiMavenAi/Herd-1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week ... | {"language": ["en"], "library_name": "transformers", "base_model": "AiMavenAi/Herd-1", "quantized_by": "mradermacher"} | mradermacher/Herd-1-GGUF | null | [
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"gguf",
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"base_model:AiMavenAi/Herd-1",
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"region:us"
] | null | 2024-04-26T21:14:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-AiMavenAi/Herd-1 #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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null | null | quantized_by: KnightCodin
---
## Exllama v2 Quantizations of winglian/Llama-3-8b-64k-PoSE
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the... | {"language": ["en"], "license": "cc-by-nc-4.0"} | Knightcodin/Llama-3-8b-64k-PoSE-exl2 | null | [
"en",
"arxiv:2309.10400",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-26T21:15:22+00:00 | [
"2309.10400"
] | [
"en"
] | TAGS
#en #arxiv-2309.10400 #license-cc-by-nc-4.0 #region-us
| quantized\_by: KnightCodin
--------------------------
Exllama v2 Quantizations of winglian/Llama-3-8b-64k-PoSE
--------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#en #arxiv-2309.10400 #license-cc-by-nc-4.0 #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-Instruct
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```bash
pip inst... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-Instruct | null | [
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"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-26T21:19:33+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-Instruct
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-8B-Instruct\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.12.0.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Uploaded model
- **Developed by:** jjohnsondev
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | jjohnsondev/Mistral-7B-Summarizer-QLoRA | null | [
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|
# Uploaded model
- Developed by: jjohnsondev
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | basakerdogan/Cyber-Jarvis-4Bit | 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:
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- License... | [
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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. -->
# xlm-roberta-base-finetuned-panx-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | Awayes/xlm-roberta-base-finetuned-panx-ar | null | [
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1977
* F1: 0.8803
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\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: 1",
"### Traini... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs128_nodpo_only4w_userresponse_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs128_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_1", "model-index": [{"name": "0.001_4iters_bs128_nodpo_only4w_userresponse_... | ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_2 | null | [
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"license:mit",
"autotrain_compat... | null | 2024-04-26T21:25:43+00:00 | [] | [] | TAGS
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# 0.001_4iters_bs128_nodpo_only4w_userresponse_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training a... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/OpenBioLLM-... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "aaditya/OpenBioLLM-Llama3-70B", "quantized_by": "mradermacher"} | mradermacher/OpenBioLLM-Llama3-70B-GGUF | null | [
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"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T21:26:36+00:00 | [] | [
"en"
] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #llama-3 #llama #Mixtral #instruct #finetune #chatml #DPO #RLHF #gpt4 #distillation #en #base_model-aaditya/OpenBioLLM-Llama3-70B #license-llama3 #endpoints_compatible #region-us \n"
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81
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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": []} | MrezaPRZ/CodeLLama_SFT_FULL | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T21:26:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | grahamaco/Mixtral-8x7B-Instruct-v0.1-touch-rugby-rules-adapters | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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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... |
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. -->
# NHS-BiomedNLP-BiomedBERT-hypop-512
This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abst... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract", "model-index": [{"name": "NHS-BiomedNLP-BiomedBERT-hypop-512", "results": []}]} | NIHNCATS/NHS-BiomedNLP-BiomedBERT-hypop-512 | null | [
"transformers",
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"bert",
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"base_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T21:30:20+00:00 | [] | [] | TAGS
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| NHS-BiomedNLP-BiomedBERT-hypop-512
==================================
This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3839
* Accuracy: 0.8269
* Precision: 0.8228
* Recall: 0.8237
* F1: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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: 6",
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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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_46M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T21:31:53+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_46M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6169
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | transformers |
# xhluca/Llama-3-8B-Web-Q4_K_M-GGUF
This model was converted to GGUF format from [`McGill-NLP/Llama-3-8B-Web`](https://huggingface.co/McGill-NLP/Llama-3-8B-Web) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["agents", "agent", "llm", "llama", "llama-cpp", "gguf-my-repo"], "datasets": ["McGill-NLP/WebLINX"]} | xhluca/Llama-3-8B-Web-Q4_K_M-GGUF | null | [
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"license:llama3",
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] | null | 2024-04-26T21:33:44+00:00 | [] | [
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|
# xhluca/Llama-3-8B-Web-Q4_K_M-GGUF
This model was converted to GGUF format from 'McGill-NLP/Llama-3-8B-Web' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Not... | [
"# xhluca/Llama-3-8B-Web-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'McGill-NLP/Llama-3-8B-Web' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# c4ai-command-r-plus - llamafile
This repository contains executable weights (which we call
[llamafiles](https://github.com/Mozilla-Ocho/llamafile)) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
- Model creator: [CohereForAI](https://huggingface.co/CohereForAI)
- Original mode... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "other", "library_name": "transformers", "tags": ["llamafile"], "base_model": "CohereForAI/c4ai-command-r-plus", "model_creator": "CohereForAI", "quantized_by": "jartine", "license_link": "LICENSE", "pipeline_tag": "text-generation", ... | jartine/c4ai-command-r-plus-llamafile | null | [
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| c4ai-command-r-plus - llamafile
===============================
This repository contains executable weights (which we call
llamafiles) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
* Model creator: CohereForAI
* Original model: CohereForAI/c4ai-command-r-plus
Quickstart
----... | [
"### Tool use & multihop capabilities:\n\n\nCommand R+ has been specifically trained with conversational tool use capabilities. These have been trained into the model via a mixture of supervised fine-tuning and preference fine-tuning, using a specific prompt template. Deviating from this prompt template will likely... | [
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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. -->
# GUE_EMP_H4-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T21:34:30+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_46M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2585
* F1 Score: 0.9143
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H4-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_46M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2522
* F1 Score: 0.9096
* Accurac... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/sdxl10ArienmixxlAsian_v45Pruned | null | [
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] | null | 2024-04-26T21:35:56+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-turkish-300m-8
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_17_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-8", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "d... | tgrhn/wav2vec2-turkish-300m-8 | null | [
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| wav2vec2-turkish-300m-8
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_17\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2539
* Wer: 0.1949
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\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\\_step... | [
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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-fa
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-fa", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name... | MohammadPourbahram/whisper-small-fa | null | [
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| whisper-small-fa
================
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: 1.8445
* Wer: 91.9255
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### 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: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | # 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResear... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Meta-Llama-3-8B", "NousResearch/Meta-Llama-3-8B-Instruct"]} | kotyKD/Llama-3-Base-Instruct-variation1 | null | [
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... | null | 2024-04-26T21:39:07+00:00 | [
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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 task arithmetic merge method using NousResearch/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
* NousResearch/Meta-Llama-3-... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs256_nodpo_only4w_userresponse_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_1", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_userresponse_... | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_2 | null | [
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"license:mit",
"autotrain_compat... | null | 2024-04-26T21:39:34+00:00 | [] | [] | TAGS
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# 0.001_4iters_bs256_nodpo_only4w_userresponse_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training a... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** yeilho
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | yeilho/llama-3-8b-Instruct-bnb-4bit-medical | null | [
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|
# Uploaded model
- Developed by: yeilho
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | * <span style="color:orange">I'm just tinkering. All credit to the original creator: [Undi](https://huggingface.co/Undi95).</span>
* <span style="color:orange">"rpcal" designates that this model was quantized using an [RP-specific data set](https://huggingface.co/datasets/royallab/PIPPA-cleaned) instead of the generali... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "merge"], "base_model": ["vicgalle/Roleplay-Llama-3-8B", "Undi95/Llama-3-Unholy-8B-e4", "Undi95/Llama-3-LewdPlay-8B"]} | zaq-hack/Llama-3-LewdPlay-8B-evo-bpw800-h8-exl2-rpcal | null | [
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* <span style="color:orange">"rpcal" designates that this model was quantized using an RP-specific data set instead of the generalized wiki or llama data set. This is likely the last model I will create with this method as... | [
"# LewdPlay-8B\n\nThis is a merge of pre-trained language models created using mergekit.\n\nThe new EVOLVE merge method was used (on MMLU specifically), see below for more information!\n\nUnholy was used for uncensoring, Roleplay Llama 3 for the DPO train he got on top, and LewdPlay for the... lewd side.",
"## Pr... | [
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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/openbmb/Eurux-8x22b-nca
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Eurux-8x22b-nca-G... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_sft", "openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "base_model": "openbmb/Eurux-8x22b-nca", "quantized_by": "mradermacher"} | mradermacher/Eurux-8x22b-nca-i1-GGUF | null | [
"transformers",
"gguf",
"reasoning",
"preference_learning",
"nca",
"en",
"dataset:openbmb/UltraInteract_sft",
"dataset:openbmb/UltraInteract_pair",
"dataset:openbmb/UltraFeedback",
"base_model:openbmb/Eurux-8x22b-nca",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T21:44:43+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #reasoning #preference_learning #nca #en #dataset-openbmb/UltraInteract_sft #dataset-openbmb/UltraInteract_pair #dataset-openbmb/UltraFeedback #base_model-openbmb/Eurux-8x22b-nca #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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] |
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. -->
# phi2-lima
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the GAIR/lima datas... | {"license": "mit", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-lima", "results": []}]} | pkarypis/phi2-lima | null | [
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"dataset:GAIR/lima",
"base_model:microsoft/phi-2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"te... | null | 2024-04-26T21:45:12+00:00 | [] | [] | TAGS
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| phi2-lima
=========
This model is a fine-tuned version of microsoft/phi-2 on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5096
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
"### 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* distributed\\_type: multi-GPU\n* num\\_devices: 16\n* total\\_train\\_batch\\_size: 128\n* total\\_eval\\_batch\\_size: 128\n*... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Laz4rz/hf-huggy-1-bonus | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-26T21:48:17+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\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 *short tutorial* wh... | [
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text-generation | transformers |
I am really enjoying this version of Cinder. More information coming. As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset edited for Cinder and removed a lot of the ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "datasets": ["Josephgflowers/just_cinder"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"text": "<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>\n"... | Josephgflowers/Phi-3-mini-4k-instruct-Cinder-llamafied-with-16bit-GGUF | null | [
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"dataset:Josephgflowers/just_cinder",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T21:50:02+00:00 | [] | [
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|
I am really enjoying this version of Cinder. More information coming. As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset edited for Cinder and removed a lot of the ... | [
"## Model Summary\n\nThe Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.\nThe model belongs to the Ph... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-70B-v1.0
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/JSL-... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["llama-3-70b", "sft", "medical"], "base_model": "johnsnowlabs/JSL-MedLlama-3-70B-v1.0", "quantized_by": "mradermacher"} | mradermacher/JSL-MedLlama-3-70B-v1.0-GGUF | null | [
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"base_model:johnsnowlabs/JSL-MedLlama-3-70B-v1.0",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T21:50:24+00:00 | [] | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Quiet-Mistral - GGUF
- Model creator: https://huggingface.co/Crystalcareai/
- Original model: https://huggingface.co/Crystal... | {} | RichardErkhov/Crystalcareai_-_Quiet-Mistral-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-26T21:50:43+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Quiet-Mistral - GGUF
* Model creator: URL
* Original model: URL
Name: Quiet-Mistral.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Quiet-Mistral.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: Quiet-Mistral.IQ3\_S.gguf, Qua... | [] | [
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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. -->
# GUE_EMP_H4-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_46M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T21:51:44+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_46M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2558
* F1 Score: 0.9111
* Accur... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | guntinik/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"safetensors",
"llava",
"trl",
"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"4-bit",
"region:us"
] | null | 2024-04-26T21:52:15+00:00 | [] | [] | TAGS
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|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# llava-1.5-7b-hf-ft-mix-vsft\n\nThis model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.",
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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": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-50-0.009 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | transformers |
# Uploaded model
- **Developed by:** jspr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | jspr/smut_llama_8b_instruct_peft | null | [
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|
# Uploaded model
- Developed by: jspr
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** jspr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | jspr/smut_llama_8b_instruct_merged | null | [
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|
# Uploaded model
- Developed by: jspr
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- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# GUE_EMP_H3-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_46M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3225
* F1 Score: 0.8764
* Accurac... | [
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null | null |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | richiebailey/wiz_lm_2 | null | [
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#safetensors #arxiv-2304.12244 #arxiv-2306.08568 #arxiv-2308.09583 #license-apache-2.0 #region-us
|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
"## See here for the WizardLM-2-7B re-upload.",
"## News [2024/04/15]\n\nWe introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, \nwhich have improved performance on complex chat, multilingual, reasoning and agent. \nNew family includes three cutting-edge models: Wizar... | [
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw4.2-exl2 | null | [
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#transformers #safetensors #llama #text-generation #not-for-all-audiences #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
## Prompt template: Mistral Inst
## Disclaimer
The AI model provided herein is intended for experimental... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# kaist-mistral-orpo-capybara-ohp-3epoch-beta-0.2
This model is a fine-tuned version of [orpo-explorers/kaist-mistral-orpo-capybar... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["orpo-explorers/OHP-15k-Stratified-1"], "base_model": "orpo-explorers/kaist-mistral-orpo-capybara-beta-0.05", "model-index": [{"name": "kaist-mistral-orpo-capybara-ohp... | orpo-explorers/kaist-mistral-orpo-capybara-ohp-3epoch-beta-0.2 | null | [
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"license:apache-2.0",... | null | 2024-04-26T22:00:22+00:00 | [] | [] | TAGS
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# kaist-mistral-orpo-capybara-ohp-3epoch-beta-0.2
This model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-capybara-beta-0.05 on the orpo-explorers/OHP-15k-Stratified-1 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | transformers |
# Uploaded model
- **Developed by:** kchopra04
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | kchopra04/llama3-inst-finetune-saxs-gguf | null | [
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|
# Uploaded model
- Developed by: kchopra04
- License: apache-2.0
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text-generation | transformers | # final_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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using /content/evol_merge_storage/input_models/Mistral-7B-v0.1_8... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Knobi3/evomergeproto1 | null | [
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] | null | 2024-04-26T22:01:23+00:00 | [
"2212.04089"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2212.04089 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # final_merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the task arithmetic merge method using /content/evol_merge_storage/input_models/Mistral-7B-v0.1_8133861 as a base.
### Models Merged
The following models were included ... | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_46M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_46M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3190
* F1 Score: 0.8816
* Accurac... | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_46M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4633
* F1 Score: 0.8771
* Accur... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold3
This model is a fine-tuned version of [microsoft/swin-large-patch... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-large-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold3", "results": [{"task": {"type": "image-classification", "n... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-large-patch4-window7-224\_fold3
===================================================================
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1347
* ... | [
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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. -->
# xlm-roberta-base-finetuned-panx-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | saraataryy/xlm-roberta-base-finetuned-panx-ar | null | [
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1977
* F1: 0.8803
Model description
-----------------
More information neede... | [
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text-generation | transformers |
A Fishy Model
This model was trained on the ChatML format with 8k context.
# Uploaded model
- **Developed by:** TheTsar1209
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hu... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | TheTsar1209/llama3-carp-v0.3 | null | [
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|
A Fishy Model
This model was trained on the ChatML format with 8k context.
# Uploaded model
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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. -->
# falcon-rw-1b-code-generation-llm-task2-modelC
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingfa... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "falcon-rw-1b-code-generation-llm-task2-modelC", "results": []}]} | Katochh/falcon-rw-1b-code-generation-llm-task2-modelC | null | [
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| falcon-rw-1b-code-generation-llm-task2-modelC
=============================================
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6594
Model description
-----------------
More information needed
... | [
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null | null |
# CAI Llama3 Consciousness Model
## Overview:
The CAI Llama3 Consciousness Model is a specialized large language model designed to understand and respond to complex questions about consciousness. Trained on the "Consciousness Benchmark Dataset" containing 10,000 unique questions and responses, this model represents a... | {"license": "llama3", "datasets": ["InnerI/CAI"]} | InnerI/CAI | null | [
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|
# CAI Llama3 Consciousness Model
## Overview:
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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. -->
# distilled-bert-finetuned-squadv2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilled-bert-finetuned-squadv2", "results": []}]} | momo345/distilled-bert-finetuned-squadv2 | null | [
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# distilled-bert-finetuned-squadv2
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
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### Traini... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | zubochenko/Plastic | null | [
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null | null |
# sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q6_K-GGUF
This model was converted to GGUF format from [`sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test`](https://huggingface.co/sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/gg... | {"license": "other", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "beomi/Llama-3-Open-Ko-8B", "model-index": [{"name": "beomi-llama3-8b-64k", "results": []}]} | sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q6_K-GGUF | null | [
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#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-beomi/Llama-3-Open-Ko-8B #license-other #region-us
|
# sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q6_K-GGUF
This model was converted to GGUF format from 'sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test' 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.
Invok... | [
"# sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test-Q6_K-GGUF\nThis model was converted to GGUF format from 'sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bigscience-small-testing - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingfa... | {} | RichardErkhov/bigscience_-_bigscience-small-testing-4bits | null | [
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#transformers #safetensors #bloom #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bigscience-small-testing - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language:
- eng
tags:
- integration
pipeline_tag: text-generation
---
# BigScience - testing model
This model aims to test... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bigscience-small-testing - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingfa... | {} | RichardErkhov/bigscience_-_bigscience-small-testing-8bits | null | [
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#transformers #safetensors #bloom #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bigscience-small-testing - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language:
- eng
tags:
- integration
pipeline_tag: text-generation
---
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This model aims to test... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | ivillar/Enlighten_Instruct | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# 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. -->
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": []} | manoj-dhakal/llama-3-8b-PhiloSloppy | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# GUE_EMP_H4ac-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_46M-L1_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_46M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5185
* F1 Score: 0.7454
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H4ac-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
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"region:us"
] | null | 2024-04-26T22:23:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_46M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5256
* F1 Score: 0.7445
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H4ac-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_46M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5206
* F1 Score: 0.7495
*... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-560m - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscien... | {} | RichardErkhov/bigscience_-_bloom-560m-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-560m - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
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"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nModel Card for Bloom-560m\n=========================\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Bias, Risks, and Limitations\n4. Recommendations\n5. Training Data\n6. Evaluation\n7. Environmental Impact\n8. Technica... | [
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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/aaditya/OpenBioLLM-Llama3-8B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/OpenBioLLM-L... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "aaditya/OpenBioLLM-Llama3-8B", "quantized_by": "mradermacher"} | mradermacher/OpenBioLLM-Llama3-8B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-560m - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscien... | {} | RichardErkhov/bigscience_-_bloom-560m-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-560m - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
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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:
* [vaatsav06/Llama3_medqa_final](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["vaatsav06/Llama3_medqa_final", "o2satz/L3_med16"]} | o2satz/L3_med16QA | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
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"merge",
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"base_model:vaatsav06/Llama3_medqa_final",
"base_model:o2satz/L3_med16",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-26T22:27:32+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-vaatsav06/Llama3_medqa_final #base_model-o2satz/L3_med16 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| # 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:
* vaatsav06/Llama3_medqa_final
* o2satz/L3_med16
### Configuration
The following ... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-560m - GGUF
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience/bl... | {} | RichardErkhov/bigscience_-_bloom-560m-gguf | null | [
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"arxiv:2110.02861",
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#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-560m - GGUF
* Model creator: URL
* Original model: URL
Name: bloom-560m.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.39GB
Name: bloom-560m.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.43GB
Name: bloom-560m.IQ3\_S.gguf, Quant method: I... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0682125091552734
f1_macro: 0.17334740509080254
f1_micro: 0.677115987460815
f1_weighted: 0.6445509958774286
precision_macro: 0.20939709069152226
precision_micro: 0.677115987460815
precision_weighted: 0.640314872903... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-produto-google-bert-base-uncased-9099/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | KassioLima/autotrain-produto-google-bert-base-uncased-9099 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
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f1_micro: 0.677115987460815
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precision_macro: 0.20939709069152226
precision_micro: 0.677115987460815
precision_weighted: 0.640314872903... | [
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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": []} | Lakoc/ebranchformer_6_128h_for_pretraining | 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 | # TenyxChat: Language Model Alignment using Tenyx Fine-tuning
Introducing Llama-3-TenyxChat-70B, part of our TenyxChat series trained to function as useful assistants through preference tuning, using Tenyx's advanced fine-tuning technology ([VentureBeat article](https://venturebeat.com/ai/tenyx-aims-to-fix-llms-catast... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["tenyx-fine-tuning", "dpo", "tenyxchat", "llama3"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "pipeline_tag": "text-generation"} | tenyx/Llama3-TenyxChat-70B | null | [
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"arxiv:2305.18290",
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| TenyxChat: Language Model Alignment using Tenyx Fine-tuning
===========================================================
Introducing Llama-3-TenyxChat-70B, part of our TenyxChat series trained to function as useful assistants through preference tuning, using Tenyx's advanced fine-tuning technology (VentureBeat article... | [
"### Hugging face Example\n\n\nPerformance\n===========\n\n\nAt the time of release (April 2024), Llama3-TenyxChat-70B is the highest-ranked open source model on the MT-Bench evaluation available for download.\n\n\nMT-Bench\n--------\n\n\nMT-Bench is a benchmark made up of 80 high-quality multi-turn questions. Thes... | [
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text-generation | transformers |
# mlx-community/Swallow-70b-instruct-v0.1-4bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-70b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-70b-instruct-v0.1) for more details on the model.
## Use with mlx
```... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-70b-instruct-v0.1-4bit | null | [
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] | null | 2024-04-26T22:31:31+00:00 | [] | [
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|
# mlx-community/Swallow-70b-instruct-v0.1-4bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-70b-instruct-v0.1']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Swallow-70b-instruct-v0.1-4bit\nThis model was converted to MLX format from ['tokyotech-llm/Swallow-70b-instruct-v0.1']() using mlx-lm version 0.6.0.\nRefer to the original model card for more details on the model.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_OSAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OSAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OSAPL_v1 | null | [
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"safetensors",
"t5",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-26T22:32:09+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_OSAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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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. -->
# zephyr-7b-dpo-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]} | chrlu/zephyr-7b-dpo-qlora | null | [
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"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2024-04-26T22:32:54+00:00 | [] | [] | TAGS
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| zephyr-7b-dpo-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5018
* Rewards/chosen: -2.1482
* Rewards/rejected: -3.1540
* Rewards/accuraci... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\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": []} | devesh220897/financial-chatbot-for-young-adults | null | [
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#transformers #safetensors #gemma #text-generation #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_PSOAL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_PSOAL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_PSOAL_v1 | null | [
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"endpoints_compatible",
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] | null | 2024-04-26T22:35:05+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_PSOAL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
# Keiana-L3-Test6-8B-16
Keiana-L3-Test6-8B-16 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Sao10K/L... | {"tags": ["merge", "mergekit", "lazymergekit", "Sao10K/L3-Solana-8B-v1", "Kaoeiri/Keiana-L3-Test4.7-8B-3"], "base_model": ["Sao10K/L3-Solana-8B-v1", "Kaoeiri/Keiana-L3-Test4.7-8B-3"]} | Kaoeiri/Keiana-L3-Test6-8B-16 | null | [
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"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"autotrain_compatible",
"endpoints... | null | 2024-04-26T22:35:55+00:00 | [] | [] | TAGS
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|
# Keiana-L3-Test6-8B-16
Keiana-L3-Test6-8B-16 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Sao10K/L3-Solana-8B-v1
* Kaoeiri/Keiana-L3-Test4.7-8B-3
## Configuration
## Usage
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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:
* [cognitivecomputations/dolphin-2.9-llama3-8b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b", "o2satz/L3_med16QA"]} | o2satz/WS_med_QA_Dolphin | null | [
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"base_model:o2satz/L3_med16QA",
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] | null | 2024-04-26T22:36:35+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:
* cognitivecomputations/dolphin-2.9-llama3-8b
* o2satz/L3_med16QA
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | nvasko/poca-SoccerTwos | null | [
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"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-26T22:37:31+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-brain-xray
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-brain-xray", "results": [{"task": {"type": "image-classification", "name": "Image Classificati... | abdulelahagr/vit-base-brain-xray | null | [
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] | null | 2024-04-26T22:39:07+00:00 | [] | [] | TAGS
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| vit-base-brain-xray
===================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the sartajbhuvaji/Brain-Tumor-Classification dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9079
* Accuracy: 0.6904
Model description
-----------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | mahiatlinux/MasherAI-7B-v6.2-test2 | null | [
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|
# Uploaded model
- Developed by: mahiatlinux
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# GUE_EMP_H3K79me3-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_46M-L1_f | null | [
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"region:us"
] | null | 2024-04-26T22:40:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_46M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4153
* F1 Score... | [
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null | null |
# Dolphin 2.9 Llama 3 70b 🐬 (GGUF)
Quantized and converted to GGUF for Ollama.
## Example Modelfile
```
FROM ./dolphin-2.9-llama3-70b-Q6_K.gguf
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{... | {"license": "llama3", "tags": ["gguf", "llama3", "ollama", "dolphin"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-70b"} | TrabEsrever/dolphin-2.9-llama3-70b-GGUF | null | [
"gguf",
"llama3",
"ollama",
"dolphin",
"base_model:cognitivecomputations/dolphin-2.9-llama3-70b",
"license:llama3",
"region:us"
] | null | 2024-04-26T22:41:00+00:00 | [] | [] | TAGS
#gguf #llama3 #ollama #dolphin #base_model-cognitivecomputations/dolphin-2.9-llama3-70b #license-llama3 #region-us
| Dolphin 2.9 Llama 3 70b (GGUF)
==============================
Quantized and converted to GGUF for Ollama.
Example Modelfile
-----------------
Provided files
--------------
Name: dolphin-2.9-llama3-70b-Q6\_K.gguf-part00000 dolphin-2.9-llama3-70b-Q6\_K.gguf-part00001, Quant method: Q6\_K, Size: 54G
Name: dolphin-... | [] | [
"TAGS\n#gguf #llama3 #ollama #dolphin #base_model-cognitivecomputations/dolphin-2.9-llama3-70b #license-llama3 #region-us \n"
] | [
47
] | [
"TAGS\n#gguf #llama3 #ollama #dolphin #base_model-cognitivecomputations/dolphin-2.9-llama3-70b #license-llama3 #region-us \n"
] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b1 - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-1b1-4bits | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-26T22:42:49+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
* as
* bm
* bn
* ca
* code
* en
* es
* eu
* fon
* fr
* g... | [
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and Calculations\n8. More Information\n9. Model Card Authors\n\n\nModel Details\n--------... | [
"TAGS\n#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\... | [
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"TAGS\n#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Mo... |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b1 - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-1b1-8bits | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-26T22:44:10+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
* as
* bm
* bn
* ca
* code
* en
* es
* eu
* fon
* fr
* g... | [
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and Calculations\n8. More Information\n9. Model Card Authors\n\n\nModel Details\n--------... | [
"TAGS\n#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\... | [
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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. -->
# GUE_EMP_H3K79me3-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T22:45:51+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_46M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4237
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b1 - GGUF
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience/blo... | {} | RichardErkhov/bigscience_-_bloom-1b1-gguf | null | [
"gguf",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"region:us"
] | null | 2024-04-26T22:46:01+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b1 - GGUF
* Model creator: URL
* Original model: URL
Name: bloom-1b1.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.66GB
Name: bloom-1b1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.73GB
Name: bloom-1b1.IQ3\_S.gguf, Quant method: IQ3\_... | [
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and Calculations\n8. More Information\n9. Model Card Authors\n\n\nModel Details\n--------... | [
"TAGS\n#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us \n",
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and ... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b7 - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-1b7-4bits | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-26T22:46:11+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b7 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
* as
* bm
* bn
* ca
* code
* en
* es
* eu
* fon
* fr
* g... | [
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nModel Card for Bloom-1b7\n========================\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Bias, Risks, and Limitations\n4. Recommendations\n5. Training Data\n6. Evaluation\n7. Environmental Impact\n8. Technical ... | [
"TAGS\n#transformers #safetensors #bloom #text-generation #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nModel Card for Bloom-1b7\n===============... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_ASOPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_ASOPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASOPL_v1 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T22:47:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_ASOPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_ASOPL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_ASOPL_v1\n\nThis model is a fine-tuned version of... | [
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_ASOPL_v1\n\nThis model is a fine-tuned version of VietA... |
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