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RichardErkhov/
arlineka_-_Brunhilde-13b-v1-gguf

Name: arlineka_-_Brunhilde-13b-v1-gguf
Availability: InStock

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Brunhilde-13b-v1 - GGUF

Model creator: https://huggingface.co/arlineka/
Original model: https://huggingface.co/arlineka/Brunhilde-13b-v1/

Name	Quant method	Size
Brunhilde-13b-v1.Q2_K.gguf	Q2_K	4.52GB
Brunhilde-13b-v1.IQ3_XS.gguf	IQ3_XS	4.99GB
Brunhilde-13b-v1.IQ3_S.gguf	IQ3_S	1.06GB
Brunhilde-13b-v1.Q3_K_S.gguf	Q3_K_S	0.63GB
Brunhilde-13b-v1.IQ3_M.gguf	IQ3_M	0.0GB
Brunhilde-13b-v1.Q3_K.gguf	Q3_K	0.0GB
Brunhilde-13b-v1.Q3_K_M.gguf	Q3_K_M	0.0GB
Brunhilde-13b-v1.Q3_K_L.gguf	Q3_K_L	0.0GB
Brunhilde-13b-v1.IQ4_XS.gguf	IQ4_XS	0.0GB
Brunhilde-13b-v1.Q4_0.gguf	Q4_0	0.0GB
Brunhilde-13b-v1.IQ4_NL.gguf	IQ4_NL	0.0GB
Brunhilde-13b-v1.Q4_K_S.gguf	Q4_K_S	0.0GB
Brunhilde-13b-v1.Q4_K.gguf	Q4_K	0.0GB
Brunhilde-13b-v1.Q4_K_M.gguf	Q4_K_M	0.0GB
Brunhilde-13b-v1.Q4_1.gguf	Q4_1	0.0GB
Brunhilde-13b-v1.Q5_0.gguf	Q5_0	0.0GB
Brunhilde-13b-v1.Q5_K_S.gguf	Q5_K_S	2.16GB
Brunhilde-13b-v1.Q5_K.gguf	Q5_K	8.6GB
Brunhilde-13b-v1.Q5_K_M.gguf	Q5_K_M	8.6GB
Brunhilde-13b-v1.Q5_1.gguf	Q5_1	9.1GB
Brunhilde-13b-v1.Q6_K.gguf	Q6_K	9.95GB
Brunhilde-13b-v1.Q8_0.gguf	Q8_0	1.49GB

Original model description:

license: cc-by-nc-4.0 tags:

merge model-index:
name: Brunhilde-13b-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: 61.09 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-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: 83.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-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: 55.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-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: 51.98 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-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: 75.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-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: 20.09 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=arlineka/Brunhilde-13b-v1 name: Open LLM Leaderboard

Brunhilde-13b-v1

Brunhilde-13b-v1 is a merge of the following models

Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "arlineka/Brunhilde-13b-v1"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	57.88
AI2 Reasoning Challenge (25-Shot)	61.09
HellaSwag (10-Shot)	83.58
MMLU (5-Shot)	55.32
TruthfulQA (0-shot)	51.98
Winogrande (5-shot)	75.22
GSM8k (5-shot)	20.09

RichardErkhov/arlineka_-_Brunhilde-13b-v1-gguf

Original model description:

Brunhilde-13b-v1

Usage

Open LLM Leaderboard Evaluation Results

RichardErkhov/
arlineka_-_Brunhilde-13b-v1-gguf