Quantization made by Richard Erkhov.

vortex-3b-v2 - GGUF

Model creator: https://huggingface.co/OEvortex/
Original model: https://huggingface.co/OEvortex/vortex-3b-v2/

Name	Quant method	Size
vortex-3b-v2.Q2_K.gguf	Q2_K	1.01GB
vortex-3b-v2.IQ3_XS.gguf	IQ3_XS	1.14GB
vortex-3b-v2.IQ3_S.gguf	IQ3_S	1.16GB
vortex-3b-v2.Q3_K_S.gguf	Q3_K_S	1.16GB
vortex-3b-v2.IQ3_M.gguf	IQ3_M	1.28GB
vortex-3b-v2.Q3_K.gguf	Q3_K	1.38GB
vortex-3b-v2.Q3_K_M.gguf	Q3_K_M	1.38GB
vortex-3b-v2.Q3_K_L.gguf	Q3_K_L	1.49GB
vortex-3b-v2.IQ4_XS.gguf	IQ4_XS	1.43GB
vortex-3b-v2.Q4_0.gguf	Q4_0	1.49GB
vortex-3b-v2.IQ4_NL.gguf	IQ4_NL	1.5GB
vortex-3b-v2.Q4_K_S.gguf	Q4_K_S	1.5GB
vortex-3b-v2.Q4_K.gguf	Q4_K	1.66GB
vortex-3b-v2.Q4_K_M.gguf	Q4_K_M	1.66GB
vortex-3b-v2.Q4_1.gguf	Q4_1	1.64GB
vortex-3b-v2.Q5_0.gguf	Q5_0	1.8GB
vortex-3b-v2.Q5_K_S.gguf	Q5_K_S	1.8GB
vortex-3b-v2.Q5_K.gguf	Q5_K	1.93GB
vortex-3b-v2.Q5_K_M.gguf	Q5_K_M	1.93GB
vortex-3b-v2.Q5_1.gguf	Q5_1	1.95GB
vortex-3b-v2.Q6_K.gguf	Q6_K	2.12GB
vortex-3b-v2.Q8_0.gguf	Q8_0	2.75GB

Original model description:

language: - en license: other tags: - HelpingAI - vortex datasets: - OEvortex/uncensored-vortex license_name: hsul license_link: https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md pipeline_tag: text-generation model-index: - name: vortex-3b-v2 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: 39.68 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 65.04 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 25.09 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 33.8 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 59.12 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 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: 2.05 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OEvortex/vortex-3b-v2 name: Open LLM Leaderboard

Model Overview

Vortex-3b-v2 is an upgraded version of the Vortex-3b model ie. a 2.78 billion parameter causal language model created by OEvortex that was derived from EleutherAI's Pythia-2.8b and trained on 79% of uncensored-vortex dataset

from transformers import pipeline

# Initialize the pipeline
pipe = pipeline("text-generation", model="OEvortex/vortex-3b-v2")

# Use the pipeline
text = "Once upon a time"
generated_text = pipe(text, max_length=100, do_sample=True)[0]['generated_text']

print(generated_text)

# Use a pipeline as a high-level helper
from transformers import pipeline

text = pipeline(model="OEvortex/vortex-3b-v2", torch_dtype=torch.bfloat16, device_map="auto")

res = text("Explain to me the difference between nuclear fission and fusion.")
print(res[0]["text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	vortex 3b	vortex 3b-v2	dolly-v2-3b	pythia-2.8b-deduped
Avg.	35.76	37.46	25.26	36.72
AI2 Reasoning Challenge (25-Shot)	31.91	39.68	22.83	36.26
HellaSwag (10-Shot)	56.89	65.04	26.55	60.66
MMLU (5-Shot)	27.32	25.09	24.7	26.78
TruthfulQA (0-shot)	37.39	33.80	0	35.56
Winogrande (5-shot)	60.14	59.12	59.43	60.22
GSM8k (5-shot)	0.91	2.05	1.86	0.83