{ "name": "Hugging Face LLM Comparisons", "schema_version": "latest", "metadata": { "parameters": { "CoLA_ex_prompt": "Is the sentence grammatical or ungrammatical?\n\n\"This building is than that one.\"", "SST_2_ex_prompt": "Is the movie review positive, negative, or neutral?\n\n\"The movie is funny, smart, visually inventive, and most of all, alive.\"", "WNLI_ex_prompt": "Sentence B replaces sentence A's ambiguous pronoun with one of the nouns - is this the correct noun?\n\n\"A) Lily spoke to Donna, breaking her concentration.\nB) Lily spoke to Donna, breaking Lily's concentration.\"" }, "models": {}, "default_model": null, "model_parsers": null }, "description": "In this notebook, we compare the individual performance of HF hosted LLMs () on a few example questions from the GLUE benchmarks (https://gluebenchmark.com/tasks).\n\nExample questions taken from \"What is the GLUE Benchmark\" medium post - https://angelina-yang.medium.com/what-is-the-glue-benchmark-for-nlu-systems-61127b3cab3f", "prompts": [ { "name": "mistral_7b_v0.1", "input": "{{SST_2_ex_prompt}}", "metadata": { "model": { "name": "Text Generation", "settings": { "model": "mistralai/Mistral-7B-v0.1" } }, "tags": null, "parameters": {} }, "outputs": [ ] }, { "name": "google_flan_t5_sm", "input": "{{SST_2_ex_prompt}}", "metadata": { "model": { "name": "Conversational", "settings": { "model": "google/flan-t5-small", "max_new_tokens": 250, "stream": false } }, "tags": null, "parameters": {} }, "outputs": [ ] }, { "name": "tinyllama-1_1B", "input": "<|system|>\nYou are to answer the following question by the user\n<|user|>\n{{SST_2_ex_prompt}}\n<|assistant|>", "metadata": { "model": { "name": "Conversational", "settings": { "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0" } }, "tags": null, "parameters": {} }, "outputs": [ ] } ] }