You can deploy this model and start earning money today!

RichardErkhov/
awnr_-_Mistral-7B-v0.1-signtensors-5-over-16-gguf

Name: awnr_-_Mistral-7B-v0.1-signtensors-5-over-16-gguf
Availability: InStock

endpoints_compatible

gguf

template

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Mistral-7B-v0.1-signtensors-5-over-16 - GGUF

Model creator: https://huggingface.co/awnr/
Original model: https://huggingface.co/awnr/Mistral-7B-v0.1-signtensors-5-over-16/

Name	Quant method	Size
Mistral-7B-v0.1-signtensors-5-over-16.Q2_K.gguf	Q2_K	2.53GB
Mistral-7B-v0.1-signtensors-5-over-16.IQ3_XS.gguf	IQ3_XS	2.81GB
Mistral-7B-v0.1-signtensors-5-over-16.IQ3_S.gguf	IQ3_S	2.96GB
Mistral-7B-v0.1-signtensors-5-over-16.Q3_K_S.gguf	Q3_K_S	2.95GB
Mistral-7B-v0.1-signtensors-5-over-16.IQ3_M.gguf	IQ3_M	3.06GB
Mistral-7B-v0.1-signtensors-5-over-16.Q3_K.gguf	Q3_K	3.28GB
Mistral-7B-v0.1-signtensors-5-over-16.Q3_K_M.gguf	Q3_K_M	3.28GB
Mistral-7B-v0.1-signtensors-5-over-16.Q3_K_L.gguf	Q3_K_L	3.56GB
Mistral-7B-v0.1-signtensors-5-over-16.IQ4_XS.gguf	IQ4_XS	3.67GB
Mistral-7B-v0.1-signtensors-5-over-16.Q4_0.gguf	Q4_0	3.83GB
Mistral-7B-v0.1-signtensors-5-over-16.IQ4_NL.gguf	IQ4_NL	1.5GB
Mistral-7B-v0.1-signtensors-5-over-16.Q4_K_S.gguf	Q4_K_S	3.43GB
Mistral-7B-v0.1-signtensors-5-over-16.Q4_K.gguf	Q4_K	1.25GB
Mistral-7B-v0.1-signtensors-5-over-16.Q4_K_M.gguf	Q4_K_M	4.07GB
Mistral-7B-v0.1-signtensors-5-over-16.Q4_1.gguf	Q4_1	4.24GB
Mistral-7B-v0.1-signtensors-5-over-16.Q5_0.gguf	Q5_0	4.65GB
Mistral-7B-v0.1-signtensors-5-over-16.Q5_K_S.gguf	Q5_K_S	4.65GB
Mistral-7B-v0.1-signtensors-5-over-16.Q5_K.gguf	Q5_K	4.78GB
Mistral-7B-v0.1-signtensors-5-over-16.Q5_K_M.gguf	Q5_K_M	4.78GB
Mistral-7B-v0.1-signtensors-5-over-16.Q5_1.gguf	Q5_1	4.66GB
Mistral-7B-v0.1-signtensors-5-over-16.Q6_K.gguf	Q6_K	5.53GB
Mistral-7B-v0.1-signtensors-5-over-16.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 model-index:

name: Mistral-7B-v0.1-signtensors-5-over-16 results:
- task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
  - type: inst_level_strict_acc and prompt_level_strict_acc value: 21.18 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
  - type: acc_norm value: 17.54 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
  - type: exact_match value: 2.19 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
  - type: acc_norm value: 4.14 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
  - type: acc_norm value: 6.14 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 21.75 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=awnr/Mistral-7B-v0.1-signtensors-5-over-16 name: Open LLM Leaderboard

Model Card for Model Mistral-7B-v0.1-5-over-16

I'm experimenting with the weight matrices in neural networks. This is a clone of Mistral-7B-v0.1 with some weight matrices replaced.

I'm interested in seeing how the adjustmenets affect performance on existing metrics.

Model Details

Research in progress! Demons could come out of your nose if you use this.

Model Description

A modification of mistralai/Mistral-7B-v0.1. Thanks to their team for sharing their model.

Modified by: Dr. Alex W. Neal Riasanovsky
Model type: pre-trained
Language(s) (NLP): English
License: Apache-2.0

Bias, Risks, and Limitations

Use your own risk. I have no idea what this model's biases and limitations are. I just want to see if the benchmark values are similar to those from Mistral-7B-v0.1. I am setting up a long computational experiment to test some ideas.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	12.16
IFEval (0-Shot)	21.18
BBH (3-Shot)	17.54
MATH Lvl 5 (4-Shot)	2.19
GPQA (0-shot)	4.14
MuSR (0-shot)	6.14
MMLU-PRO (5-shot)	21.75

RichardErkhov/awnr_-_Mistral-7B-v0.1-signtensors-5-over-16-gguf