Model: tensorblock/Llama-68M-Chat-v1-GGUF
Author: tensorblock
Pipeline: text-generation
Tags: gguf, text-generation, TensorBlock, GGUF, en, dataset:THUDM/webglm-qa, dataset:databricks/databricks-dolly-15k, dataset:cognitivecomputations/wizard_vicuna_70k_unfiltered, dataset:totally-not-an-llm/EverythingLM-data-V3, dataset:Amod/mental_health_counseling_conversations, dataset:sablo/oasst2_curated, dataset:starfishmedical/webGPT_x_dolly, dataset:Open-Orca/OpenOrca, dataset:mlabonne/chatml_dpo_pairs, base_model:Felladrin/Llama-68M-Chat-v1, base_model:quantized:Felladrin/Llama-68M-Chat-v1, license:apache-2.0, model-index, endpoints_compatible, region:us, conversational
Base models (quantized): id: Felladrin/Llama-68M-Chat-v1
Card metadata: language: en
license: apache-2.0
tags: text-generation, TensorBlock, GGUF
datasets: THUDM/webglm-qa, databricks/databricks-dolly-15k, cognitivecomputations/wizard_vicuna_70k_unfiltered, totally-not-an-llm/EverythingLM-data-V3, Amod/mental_health_counseling_conversations, sablo/oasst2_curated, starfishmedical/webGPT_x_dolly, Open-Orca/OpenOrca, mlabonne/chatml_dpo_pairs
base_model: Felladrin/Llama-68M-Chat-v1
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 knowledgeable assistant. Help the user as much as you can., user: How to become healthier?, messages: system: You are a helpful assistant who provides concise responses., user: Hi!, assistant: Hello there! How may I help you?, user: I need to build a simple website. Where should I start learning about web development?, messages: system: You are a very creative assistant. User will give you a task, which you should complete with all your knowledge., user: Write the background story of an RPG game about wizards and dragons in a sci-fi world.
inference: parameters: max_new_tokens: 64
penalty_alpha: 0.5
top_k: 4
model-index: name: Llama-68M-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: 23.29
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 28.27
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 25.18
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 47.27
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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: 54.3
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-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-68M-Chat-v1
name: Open LLM Leaderboard
Likes: 0 | All-time downloads: 1909
Created: 2024-11-13 19:15:22