Model: Felladrin/Llama-160M-Chat-v1
Author: Felladrin
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, conversational, en, dataset:ehartford/wizard_vicuna_70k_unfiltered, dataset:totally-not-an-llm/EverythingLM-data-V3, dataset:Open-Orca/SlimOrca-Dedup, dataset:databricks/databricks-dolly-15k, dataset:THUDM/webglm-qa, base_model:JackFram/llama-160m, base_model:finetune:JackFram/llama-160m, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: JackFram/llama-160m
Card metadata: language: en
license: apache-2.0
tags: text-generation
base_model: JackFram/llama-160m
datasets: ehartford/wizard_vicuna_70k_unfiltered, totally-not-an-llm/EverythingLM-data-V3, Open-Orca/SlimOrca-Dedup, databricks/databricks-dolly-15k, THUDM/webglm-qa
widget: messages: system: You are a helpful assistant, who answers with empathy., user: Got a question for you!, assistant: Sure! What's it?, user: Why do you love cats so much!? 🐈, messages: system: You are a helpful assistant who answers user's questions with empathy., user: Who is Mona Lisa?, messages: system: You are a helpful assistant who provides concise responses., user: Heya!, assistant: Hi! How may I help you today?, user: I need to build a simple website. Where should I start learning about web development?, messages: user: Invited some friends to come home today. Give me some ideas for games to play with them!, 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 helpful assistant who gives creative responses., user: Write the specs of a game about mages in a fantasy world., messages: system: You are a helpful assistant who answers user's questions with details., user: Tell me about the pros and cons of social media., messages: system: You are a helpful assistant who answers user's questions with confidence., user: What is a dog?, assistant: A dog is a four-legged, domesticated animal that is a member of the class Mammalia, which includes all mammals. Dogs are known for their loyalty, playfulness, and ability to be trained for various tasks. They are also used for hunting, herding, and as service animals., user: What is the color of an apple?
inference: parameters: max_new_tokens: 250
penalty_alpha: 0.5
top_k: 4
repetition_penalty: 1.01
model-index: name: Llama-160M-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: 24.74
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-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: 35.29
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-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: 26.13
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-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: 44.16
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-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: 51.3
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-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/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args: num_few_shot: 0
metrics: type: inst_level_strict_acc and prompt_level_strict_acc
value: 15.75
name: strict accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: BBH (3-Shot)
type: BBH
args: num_few_shot: 3
metrics: type: acc_norm
value: 3.17
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args: num_few_shot: 4
metrics: type: exact_match
value: 0
name: exact match
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: GPQA (0-shot)
type: Idavidrein/gpqa
args: num_few_shot: 0
metrics: type: acc_norm
value: 1.01
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args: num_few_shot: 0
metrics: type: acc_norm
value: 3.17
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args: num_few_shot: 5
metrics: type: acc
value: 1.51
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
name: Open LLM Leaderboard
Likes: 20 | All-time downloads: 69871
Created: 2023-12-20 23:37:50