metadata
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- uukuguy/speechless-code-mistral-7b-v1.0
- upaya07/Arithmo2-Mistral-7B
pipeline_tag: text-generation
model-index:
- name: sethuiyer/CodeCalc-Mistral-7B
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: 61.95
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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: 83.64
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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: 62.78
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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: 47.49
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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: 78.3
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
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: 63.53
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/CodeCalc-Mistral-7B
name: Open LLM Leaderboard
CodeCalc-Mistral-7B
Configuration
The following YAML configuration was used to produce this model:
base_model: uukuguy/speechless-code-mistral-7b-v1.0
dtype: bfloat16
merge_method: ties
models:
- model: uukuguy/speechless-code-mistral-7b-v1.0
- model: upaya07/Arithmo2-Mistral-7B
parameters:
density: [0.25, 0.35, 0.45, 0.35, 0.25]
weight: [0.1, 0.25, 0.5, 0.25, 0.1]
parameters:
int8_mask: true
Evaluation
| T | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|---|---|
| 🔍 | sethuiyer/CodeCalc-Mistral-7B | 66.33 | 61.95 | 83.64 | 62.78 | 47.79 | 78.3 | 63.53 |
| 📉 | uukuguy/speechless-code-mistral-7b-v1.0 | 63.6 | 61.18 | 83.77 | 63.4 | 47.9 | 78.37 | 47.01 |
The merge appears to be successful, especially considering the substantial improvement in the GSM8K benchmark while maintaining comparable performance on other metrics.
Usage
Alpaca Instruction Format and Divine Intellect preset.
You are an intelligent programming assistant.
### Instruction:
Implement a linked list in C++
### Response:
Preset:
temperature: 1.31
top_p: 0.14
repetition_penalty: 1.17
top_k: 49
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 66.33 |
| AI2 Reasoning Challenge (25-Shot) | 61.95 |
| HellaSwag (10-Shot) | 83.64 |
| MMLU (5-Shot) | 62.78 |
| TruthfulQA (0-shot) | 47.79 |
| Winogrande (5-shot) | 78.30 |
| GSM8k (5-shot) | 63.53 |