language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
model-index:
- name: speechless-zephyr-code-functionary-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: 61.52
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-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: 83.88
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-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: 64.71
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-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: 44.99
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-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: 78.69
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-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: 43.82
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
name: Open LLM Leaderboard
speechless-zephyr-code-functionary-7b
4,5,8-bit GGUF models for CPU+GPU inference
This model is the one of the moloras (Mixture-of-Multi-LoRAs) experiments.
Extract LoRA modules from below models (all based Mistral-7B-v0.1), each LoRA module has its own unique skills. By using multi-loras, they can be combined together statically or dynamically to form a versatile new model.
- HuggingFaceH4/zephyr-7b-beta (Uncensored Model)
- meetkai/functionary-small-v2.2 (Execute functions/plugins)
- uukuguy/speechless-code-mistral-7b-v1.0 (Enhance Coding)
The entire process is completed through the use of extract-lora, merge-lora, and lora-hub provided by multi-loras.
The router of mixture-of-multi-loras enables an automatic assembling of LoRA modules, using a gradientfree approach to obtain the coefficients of LoRA modules and requiring only a handful of inference steps for unseen tasks.
Code: https://github.com/uukuguy/multi_loras
LM-Evaluation-Harness
| Metric | Value |
|---|---|
| ARC | 61.52 |
| HellaSwag | 83.88 |
| MMLU | 64.71 |
| TruthfulQA | 44.99 |
| Winogrande | 78.69 |
| GSM8K | 43.82 |
| Average | 62.93 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 62.93 |
| AI2 Reasoning Challenge (25-Shot) | 61.52 |
| HellaSwag (10-Shot) | 83.88 |
| MMLU (5-Shot) | 64.71 |
| TruthfulQA (0-shot) | 44.99 |
| Winogrande (5-shot) | 78.69 |
| GSM8k (5-shot) | 43.82 |