You can deploy this model and start earning money today!

RichardErkhov/
lodrick-the-lafted_-_Grafted-Hermetic-Platypus-D-2x7B-gguf

Name: lodrick-the-lafted_-_Grafted-Hermetic-Platypus-D-2x7B-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Grafted-Hermetic-Platypus-D-2x7B - GGUF

Model creator: https://huggingface.co/lodrick-the-lafted/
Original model: https://huggingface.co/lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B/

Name	Quant method	Size
Grafted-Hermetic-Platypus-D-2x7B.Q2_K.gguf	Q2_K	4.43GB
Grafted-Hermetic-Platypus-D-2x7B.IQ3_XS.gguf	IQ3_XS	4.95GB
Grafted-Hermetic-Platypus-D-2x7B.IQ3_S.gguf	IQ3_S	5.22GB
Grafted-Hermetic-Platypus-D-2x7B.Q3_K_S.gguf	Q3_K_S	5.2GB
Grafted-Hermetic-Platypus-D-2x7B.IQ3_M.gguf	IQ3_M	5.35GB
Grafted-Hermetic-Platypus-D-2x7B.Q3_K.gguf	Q3_K	5.78GB
Grafted-Hermetic-Platypus-D-2x7B.Q3_K_M.gguf	Q3_K_M	5.78GB
Grafted-Hermetic-Platypus-D-2x7B.Q3_K_L.gguf	Q3_K_L	6.27GB
Grafted-Hermetic-Platypus-D-2x7B.IQ4_XS.gguf	IQ4_XS	6.5GB
Grafted-Hermetic-Platypus-D-2x7B.Q4_0.gguf	Q4_0	6.78GB
Grafted-Hermetic-Platypus-D-2x7B.IQ4_NL.gguf	IQ4_NL	6.85GB
Grafted-Hermetic-Platypus-D-2x7B.Q4_K_S.gguf	Q4_K_S	6.84GB
Grafted-Hermetic-Platypus-D-2x7B.Q4_K.gguf	Q4_K	7.25GB
Grafted-Hermetic-Platypus-D-2x7B.Q4_K_M.gguf	Q4_K_M	7.25GB
Grafted-Hermetic-Platypus-D-2x7B.Q4_1.gguf	Q4_1	7.52GB
Grafted-Hermetic-Platypus-D-2x7B.Q5_0.gguf	Q5_0	8.26GB
Grafted-Hermetic-Platypus-D-2x7B.Q5_K_S.gguf	Q5_K_S	8.26GB
Grafted-Hermetic-Platypus-D-2x7B.Q5_K.gguf	Q5_K	8.51GB
Grafted-Hermetic-Platypus-D-2x7B.Q5_K_M.gguf	Q5_K_M	8.51GB
Grafted-Hermetic-Platypus-D-2x7B.Q5_1.gguf	Q5_1	9.01GB
Grafted-Hermetic-Platypus-D-2x7B.Q6_K.gguf	Q6_K	9.84GB
Grafted-Hermetic-Platypus-D-2x7B.Q8_0.gguf	Q8_0	12.75GB

Original model description:

license: apache-2.0 datasets:

lodrick-the-lafted/Hermes-40K
garage-bAInd/Open-Platypus
jondurbin/airoboros-3.2 model-index:
name: Grafted-Hermetic-Platypus-D-2x7B 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: 58.87 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B 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: 82.89 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B 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: 61.96 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B 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: 61.02 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B 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: 77.43 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B 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: 43.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B name: Open LLM Leaderboard

Grafted-Hermetic-Platypus-D-2x7B

MoE merge of

Basically the same thing as GHP-A.

Prompt Format

Both the default Mistral-Instruct tags and Alpaca are fine, so either:

<s>[INST] {sys_prompt} {instruction} [/INST]

{sys_prompt}

### Instruction:
{instruction}

### Response:

The tokenizer default is Alpaca this time around.

Usage

python

from transformers import AutoTokenizer
import transformers
import torch

model = "lodrick-the-lafted/Grafted-Hermetic-Platypus-A-2x7B"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.bfloat16},
)

messages = [{"role": "user", "content": "Give me a cooking recipe for an pumpkin pie."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.95)
print(outputs[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	64.24
AI2 Reasoning Challenge (25-Shot)	58.87
HellaSwag (10-Shot)	82.89
MMLU (5-Shot)	61.96
TruthfulQA (0-shot)	61.02
Winogrande (5-shot)	77.43
GSM8k (5-shot)	43.29

RichardErkhov/lodrick-the-lafted_-_Grafted-Hermetic-Platypus-D-2x7B-gguf