Model: LLM360/CrystalChat
Author: LLM360
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, crystalcoder, text-generation, llm, code, custom_code, en, dataset:openaccess-ai-collective/oasst1-guanaco-extended-sharegpt, dataset:Open-Orca/SlimOrca, dataset:AtAndDev/ShareGPT-Vicuna-v3-cleaned-unfiltered, dataset:WizardLM/WizardLM_evol_instruct_V2_196k, dataset:winglian/chatlogs-en-cleaned, dataset:HuggingFaceH4/CodeAlpaca_20K, dataset:theblackcat102/evol-codealpaca-v1, dataset:nickrosh/Evol-Instruct-Code-80k-v1, dataset:open-phi/textbooks, dataset:open-phi/programming_books_llama, dataset:LLM360/CrystalCoderDatasets, arxiv:2312.06550, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
language: en
pipeline_tag: text-generation
library_name: transformers
widget: example_title: Explain the name of CrystalChat
text: 
 
 You are an AI assistant. You will be given a task. You must generate a detailed and long answer. 
 
 Give me a one-sentence description of crystal. And tell me what might the name "Crystal" mean for a transparant and open-source language model? 

output: text: A crystal is an ordered, hexagonal lattice of atoms that displays a unique crystal structure resulting in transparency and diverse physical and chemical properties, and as a transparent and open-source language model, "Crystal" might represent transparency and accessibility by enabling users to understand the inner workings of the model.
, example_title: Write python function and explain
text: 
 
 You are an AI assistant. You will be given a task. You must generate a detailed and long answer. 
 
 Write a python function that takes a list of integers and returns the squared sum of the list. 

output: text: 

Here's a Python function named `squared_sum_list` that takes a list of integers as input and returns the squared sum of the list:

```python
def squared_sum_list(lst):
	return sum([num ** 2 for num in lst])
```
The function `squared_sum_list` uses a list comprehension to iterate over each number in the input list `lst` and calculate its square. Then, it uses the `sum` function to accumulate all the squared numbers in a single value - the squared sum of the list.

For example:

```python
numbers = [1, 2, 3, 4, 5]
print(squared_sum_list(numbers))  # Outputs: 55
```

In the above code, the list `[1, 2, 3, 4, 5]` is passed as an argument to the `squared_sum_list` function. The function calculates the sum of the squares of the elements in the list, which is `1 + 4 + 9 + 16 + 25 = 55`. The function then returns this result, which is printed to the console.

tags: llm, code
datasets: openaccess-ai-collective/oasst1-guanaco-extended-sharegpt, Open-Orca/SlimOrca, AtAndDev/ShareGPT-Vicuna-v3-cleaned-unfiltered, WizardLM/WizardLM_evol_instruct_V2_196k, winglian/chatlogs-en-cleaned, HuggingFaceH4/CodeAlpaca_20K, theblackcat102/evol-codealpaca-v1, nickrosh/Evol-Instruct-Code-80k-v1, open-phi/textbooks, open-phi/programming_books_llama, LLM360/CrystalCoderDatasets
model-index: name: CrystalChat
results: task: type: text-generation
dataset: type: openai_humanneval
name: OpenAI HumanEval
metrics: name: pass@1 (t=0.2)
type: pass@1
value: 34.116
verified: no, name: pass@10 (t=0.8)
type: pass@10
value: 65.755
verified: no, task: type: text-generation
dataset: type: mbpp
name: Mostly Basic Python Problems (mbpp)
metrics: name: pass@1 (t=0.1)
type: pass@1
value: 39.112
verified: no, name: pass@10 (t=0.8)
type: pass@10
value: 59.895
verified: no, task: type: multiple-choice
dataset: type: race
name: RACE
metrics: name: Accuracy (0 shot)
type: accuracy
value: 41.148
verified: no, task: type: multiple-choice
dataset: type: mmlu
name: Measuring Massive Multitask Language Understanding (MMLU)
metrics: name: Accuracy (5 shot)
type: accuracy
value: 53.215
verified: no, name: Accuracy (0 shot)
type: accuracy
value: 52.789
verified: no, task: type: multiple-choice
dataset: type: truthful_qa
name: Truthful QA
metrics: name: Accuracy (0 shot)
type: accuracy
value: 47.29
verified: no, task: type: multiple-choice
dataset: type: winogrande
name: Winogrande
metrics: name: Accuracy (5 shot)
type: accuracy
value: 70.639
verified: no, name: Accuracy (0 shot)
type: accuracy
value: 68.114
verified: no, task: type: multiple-choice
dataset: type: copa
name: COPA
metrics: name: Accuracy (0 shot)
type: accuracy
value: 85
verified: no, task: type: text-classification
dataset: type: boolq
name: Boolq
metrics: name: Accuracy (0 shot)
type: accuracy
value: 82.783
verified: no, task: type: question-answering
dataset: type: openbookqa
name: Openbook QA
metrics: name: Accuracy (0 shot)
type: accuracy
value: 42
verified: no, task: type: multiple-choice
dataset: type: hellaSwag
name: HellaSwag
metrics: name: Accuracy (10-shot)
type: accuracy
value: 76.12
verified: no, name: Accuracy (0-shot)
type: accuracy
value: 73.312
verified: no, task: type: question-answering
dataset: type: piqa
name: PIQA
metrics: name: Accuracy (0 shot)
type: accuracy
value: 77.856
verified: no, task: type: question-answering
dataset: type: ai2_arc
name: ARC (Easy)
metrics: name: Accuracy (0 shot)
type: accuracy
value: 70.328
verified: no, task: type: question-answering
dataset: type: ai2_arc
name: ARC (Challenge)
metrics: name: Accuracy (25-shot)
type: accuracy
value: 51.706
verified: no, name: Accuracy (0-shot)
type: accuracy
value: 44.625
verified: no, task: type: text-generation
dataset: type: gsm8k
name: GSM8K (Grade School Math 8K)
metrics: name: Accuracy (5 shot)
type: accuracy
value: 28.052
verified: no
Likes: 36 | All-time downloads: 52086
Created: 2024-01-08 18:53:29