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Open-weight model

llama-3.1-8b-instruct-lora-clinical_iter2

by Vaibhav Raj vab46/llama-3.1-8b-instruct-lora-clinical_iter2

llama-3.1-8b-instruct-lora-clinical_iter2 is an open-weight model from Vaibhav Raj. Its published files total 224.8 MB.

This model is a PEFT/LoRA adapter single epoch fine-tuned on top of meta-llama/Llama-3.1-8B-Instruct. Finr tuning has been done on iter2 anchor-context-groundTruthjunkHandled dataset related to clinical trials.

Parameters—
Context—
Weights167.8 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

This model is a PEFT/LoRA adapter single epoch fine-tuned on top of meta-llama/Llama-3.1-8B-Instruct. Finr tuning has been done on iter2 anchor-context-groundTruthjunkHandled dataset related to clinical trials. This fine tuned adapter on base LLM can be to address clinical trials related questions in general(macro/broad overview, patient eligiblity, operations etc related question). Further this can also be used for prompt engineering based on CT, or RAG generation(related to CT) based on retrieved chunks. You can load this model using bitsandbytes for 4-bit quantization and peft to apply the adapter weights. Tokenizer formatting utilizes the base model's official chat template to map…

Excerpt from the card by Vaibhav Raj.

Identity and Version

Repository
vab46/llama-3.1-8b-instruct-lora-clinical_iter2
Publisher
Vaibhav Raj
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
ee5e17f7a0f5134f69446474c13baedf11ae4215
First published
2026-09-15
Last updated
2026-09-24

Files and Weights

26 files, 224.8 MB in total. The weights are 1 file totalling 167.8 MB in safetensors.

Weights1 file · 167.8 MB
Configuration6 files · 5.5 KB
Documentation2 files · 36.5 KB
Other16 files · 56.9 MB
Repository1 file · 1.7 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights167.8 MB 77d64ba27cee
.config/.last_opt_in_prompt.yamlConfiguration3 B —
.config/.last_survey_prompt.yamlConfiguration37 B —
.config/.last_update_check.jsonConfiguration135 B —
adapter_config.jsonConfiguration1.2 KB —
sample_data/anscombe.jsonConfiguration1.7 KB —
trainer_state.jsonConfiguration2.4 KB —
README.mdDocumentation35.6 KB —
sample_data/README.mdDocumentation962 B —
.config/active_configOther7 B —
.config/config_sentinelOther —
.config/configurations/config_defaultOther94 B —
.config/default_configs.dbOther12.3 KB —
.config/gceOther5 B —
.config/hidden_gcloud_config_universe_descriptor_data_cache_configs.dbOther12.3 KB —
.config/logs/2026.09.04/13.31.54.252184.logOther53.2 KB —
.config/logs/2026.09.04/13.32.19.320548.logOther465 B —
.config/logs/2026.09.04/13.32.27.247672.logOther12.7 KB —
.config/logs/2026.09.04/13.32.28.853654.logOther465 B —
.config/logs/2026.09.04/13.32.37.014185.logOther704 B —
.config/logs/2026.09.04/13.32.37.832911.logOther699 B —
sample_data/california_housing_test.csvOther301.1 KB —
sample_data/california_housing_train.csvOther1.7 MB —
sample_data/mnist_test.csvOther18.3 MB 51c292478d94
sample_data/mnist_train_small.csvOther36.5 MB 1ef64781aa03
.gitattributesRepository1.7 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
167.8 MB
Download from Vaibhav Raj

Released by Vaibhav Raj through its official repository on Hugging Face.

Built From

  • Trained on (disclosed) vab46/Clinical_trials_anchor-contextORpositive-ground-truth_LLM_LORA-junk_handled_ft

Memory Requirements

PrecisionWeights in memory
As published167.8 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.