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RichardErkhov/
Locutusque_-_lr-experiment1-7B-gguf

Name: Locutusque_-_lr-experiment1-7B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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lr-experiment1-7B - GGUF

Model creator: https://huggingface.co/Locutusque/
Original model: https://huggingface.co/Locutusque/lr-experiment1-7B/

Name	Quant method	Size
lr-experiment1-7B.Q2_K.gguf	Q2_K	2.53GB
lr-experiment1-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
lr-experiment1-7B.IQ3_S.gguf	IQ3_S	2.96GB
lr-experiment1-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
lr-experiment1-7B.IQ3_M.gguf	IQ3_M	3.06GB
lr-experiment1-7B.Q3_K.gguf	Q3_K	3.28GB
lr-experiment1-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
lr-experiment1-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
lr-experiment1-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
lr-experiment1-7B.Q4_0.gguf	Q4_0	3.83GB
lr-experiment1-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
lr-experiment1-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
lr-experiment1-7B.Q4_K.gguf	Q4_K	4.07GB
lr-experiment1-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
lr-experiment1-7B.Q4_1.gguf	Q4_1	4.24GB
lr-experiment1-7B.Q5_0.gguf	Q5_0	4.65GB
lr-experiment1-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
lr-experiment1-7B.Q5_K.gguf	Q5_K	4.78GB
lr-experiment1-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
lr-experiment1-7B.Q5_1.gguf	Q5_1	5.07GB
lr-experiment1-7B.Q6_K.gguf	Q6_K	5.53GB
lr-experiment1-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 datasets:

Locutusque/hercules-v2.0
CollectiveCognition/chats-data-2023-09-22 language:
en

lr-experiment1-7B

The lr-experiment model series is a research project I'm conducting that I will be using to determine the best learning rate to use while fine-tuning Mistral. This model uses a learning rate of 2e-5 with a cosine scheduler and no warmup steps.

I used Locutusque/Hercules-2.0-Mistral-7B as a base model, and further fine-tuned it on CollectiveCognition/chats-data-2023-09-22 using QLoRA for 3 epochs. I will be keeping track of evaluation results, and will comparing it to upcoming models.

Evals

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
agieval_nous	N/A	none	None	acc	0.3645	±	0.0093
		none	None	acc_norm	0.3468	±	0.0092
- agieval_aqua_rat	1	none	None	acc	0.2283	±	0.0264
		none	None	acc_norm	0.2283	±	0.0264
- agieval_logiqa_en	1	none	None	acc	0.2965	±	0.0179
		none	None	acc_norm	0.3303	±	0.0184
- agieval_lsat_ar	1	none	None	acc	0.2217	±	0.0275
		none	None	acc_norm	0.1783	±	0.0253
- agieval_lsat_lr	1	none	None	acc	0.4039	±	0.0217
		none	None	acc_norm	0.3686	±	0.0214
- agieval_lsat_rc	1	none	None	acc	0.4870	±	0.0305
		none	None	acc_norm	0.4424	±	0.0303
- agieval_sat_en	1	none	None	acc	0.6408	±	0.0335
		none	None	acc_norm	0.5971	±	0.0343
- agieval_sat_en_without_passage	1	none	None	acc	0.3932	±	0.0341
		none	None	acc_norm	0.3835	±	0.0340
- agieval_sat_math	1	none	None	acc	0.3455	±	0.0321
		none	None	acc_norm	0.2727	±	0.0301

Groups	Version	Filter	n-shot	Metric	Value		Stderr
agieval_nous	N/A	none	None	acc	0.3645	±	0.0093
		none	None	acc_norm	0.3468	±	0.0092

RichardErkhov/Locutusque_-_lr-experiment1-7B-gguf

Original model description:

lr-experiment1-7B

Evals

RichardErkhov/
Locutusque_-_lr-experiment1-7B-gguf