Model: Felladrin/Pythia-31M-Chat-v1
Author: Felladrin
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, gpt_neox, text-generation, conversational, en, dataset:totally-not-an-llm/EverythingLM-data-V3, dataset:databricks/databricks-dolly-15k, dataset:THUDM/webglm-qa, dataset:starfishmedical/webGPT_x_dolly, dataset:Amod/mental_health_counseling_conversations, dataset:sablo/oasst2_curated, dataset:cognitivecomputations/wizard_vicuna_70k_unfiltered, dataset:mlabonne/chatml_dpo_pairs, base_model:EleutherAI/pythia-31m, base_model:finetune:EleutherAI/pythia-31m, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: EleutherAI/pythia-31m
Card metadata: language: en
license: apache-2.0
base_model: EleutherAI/pythia-31m
datasets: totally-not-an-llm/EverythingLM-data-V3, databricks/databricks-dolly-15k, THUDM/webglm-qa, starfishmedical/webGPT_x_dolly, Amod/mental_health_counseling_conversations, sablo/oasst2_curated, cognitivecomputations/wizard_vicuna_70k_unfiltered, mlabonne/chatml_dpo_pairs
pipeline_tag: text-generation
widget: messages: system: You are a career counselor. The user will provide you with an individual looking for guidance in their professional life, and your task is to assist them in determining what careers they are most suited for based on their skills, interests, and experience. You should also conduct research into the various options available, explain the job market trends in different industries, and advice on which qualifications would be beneficial for pursuing particular fields., user: Heya!, assistant: Hi! How may I help you?, user: I am interested in developing a career in software engineering. What would you recommend me to do?, messages: system: You are a helpful assistant who answers user's questions with details and curiosity., user: What are some potential applications for quantum computing?, messages: system: You are a highly knowledgeable assistant. Help the user as much as you can., user: What are some steps I can take to become a healthier person?
inference: parameters: max_new_tokens: 250
penalty_alpha: 0.5
top_k: 2
repetition_penalty: 1.0016
model-index: name: Pythia-31M-Chat-v1
results: task: type: text-generation
name: Text Generation
dataset: name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args: num_few_shot: 25
metrics: type: acc_norm
value: 22.7
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args: num_few_shot: 10
metrics: type: acc_norm
value: 25.6
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args: num_few_shot: 5
metrics: type: acc
value: 23.24
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args: num_few_shot: 5
metrics: type: acc
value: 47.99
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args: num_few_shot: 0
metrics: type: mc2
value: 0
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args: num_few_shot: 5
metrics: type: acc
value: 0
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
name: Open LLM Leaderboard
Likes: 8 | All-time downloads: 36805
Created: 2024-01-06 12:44:07