Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Weyaxi_-_SlimOpenOrca-Mistral-7B-v2-gguf – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
Weyaxi_-_SlimOpenOrca-Mistral-7B-v2-gguf
like
0
endpoints_compatible
gguf
template
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
SlimOpenOrca-Mistral-7B-v2 - GGUF
Model creator:
https://huggingface.co/Weyaxi/
Original model:
https://huggingface.co/Weyaxi/SlimOpenOrca-Mistral-7B-v2/
Name
Quant method
Size
SlimOpenOrca-Mistral-7B-v2.Q2_K.gguf
Q2_K
2.53GB
SlimOpenOrca-Mistral-7B-v2.IQ3_XS.gguf
IQ3_XS
2.81GB
SlimOpenOrca-Mistral-7B-v2.IQ3_S.gguf
IQ3_S
2.96GB
SlimOpenOrca-Mistral-7B-v2.Q3_K_S.gguf
Q3_K_S
2.95GB
SlimOpenOrca-Mistral-7B-v2.IQ3_M.gguf
IQ3_M
3.06GB
SlimOpenOrca-Mistral-7B-v2.Q3_K.gguf
Q3_K
3.28GB
SlimOpenOrca-Mistral-7B-v2.Q3_K_M.gguf
Q3_K_M
3.28GB
SlimOpenOrca-Mistral-7B-v2.Q3_K_L.gguf
Q3_K_L
3.56GB
SlimOpenOrca-Mistral-7B-v2.IQ4_XS.gguf
IQ4_XS
3.67GB
SlimOpenOrca-Mistral-7B-v2.Q4_0.gguf
Q4_0
3.83GB
SlimOpenOrca-Mistral-7B-v2.IQ4_NL.gguf
IQ4_NL
3.87GB
SlimOpenOrca-Mistral-7B-v2.Q4_K_S.gguf
Q4_K_S
3.86GB
SlimOpenOrca-Mistral-7B-v2.Q4_K.gguf
Q4_K
4.07GB
SlimOpenOrca-Mistral-7B-v2.Q4_K_M.gguf
Q4_K_M
4.07GB
SlimOpenOrca-Mistral-7B-v2.Q4_1.gguf
Q4_1
4.24GB
SlimOpenOrca-Mistral-7B-v2.Q5_0.gguf
Q5_0
4.65GB
SlimOpenOrca-Mistral-7B-v2.Q5_K_S.gguf
Q5_K_S
4.65GB
SlimOpenOrca-Mistral-7B-v2.Q5_K.gguf
Q5_K
4.78GB
SlimOpenOrca-Mistral-7B-v2.Q5_K_M.gguf
Q5_K_M
4.78GB
SlimOpenOrca-Mistral-7B-v2.Q5_1.gguf
Q5_1
5.07GB
SlimOpenOrca-Mistral-7B-v2.Q6_K.gguf
Q6_K
5.53GB
SlimOpenOrca-Mistral-7B-v2.Q8_0.gguf
Q8_0
7.17GB
Original model description:
license: cc-by-nc-4.0
Buy Me A Coffee
Merge of
Open-Orca/Mistral-7B-SlimOrca
and
Open-Orca/Mistral-7B-OpenOrca
using ties merge.
Weights
Open-Orca/Mistral-7B-SlimOrca
: 0.6
Open-Orca/Mistral-7B-OpenOrca
: 0.4
Density
Open-Orca/Mistral-7B-SlimOrca
: 0.5
Open-Orca/Mistral-7B-OpenOrca
: 0.5
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
52.96
ARC (25-shot)
62.88
HellaSwag (10-shot)
83.41
MMLU (5-shot)
62.05
TruthfulQA (0-shot)
56.65
Winogrande (5-shot)
77.58
GSM8K (5-shot)
18.95
DROP (3-shot)
9.19