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Quantization made by Richard Erkhov.

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Terminis-7B - GGUF

Name Quant method Size
Terminis-7B.Q2_K.gguf Q2_K 2.53GB
Terminis-7B.IQ3_XS.gguf IQ3_XS 2.81GB
Terminis-7B.IQ3_S.gguf IQ3_S 2.96GB
Terminis-7B.Q3_K_S.gguf Q3_K_S 2.95GB
Terminis-7B.IQ3_M.gguf IQ3_M 3.06GB
Terminis-7B.Q3_K.gguf Q3_K 3.28GB
Terminis-7B.Q3_K_M.gguf Q3_K_M 3.28GB
Terminis-7B.Q3_K_L.gguf Q3_K_L 3.56GB
Terminis-7B.IQ4_XS.gguf IQ4_XS 3.67GB
Terminis-7B.Q4_0.gguf Q4_0 3.83GB
Terminis-7B.IQ4_NL.gguf IQ4_NL 3.87GB
Terminis-7B.Q4_K_S.gguf Q4_K_S 3.86GB
Terminis-7B.Q4_K.gguf Q4_K 4.07GB
Terminis-7B.Q4_K_M.gguf Q4_K_M 4.07GB
Terminis-7B.Q4_1.gguf Q4_1 4.24GB
Terminis-7B.Q5_0.gguf Q5_0 4.65GB
Terminis-7B.Q5_K_S.gguf Q5_K_S 4.65GB
Terminis-7B.Q5_K.gguf Q5_K 4.78GB
Terminis-7B.Q5_K_M.gguf Q5_K_M 4.78GB
Terminis-7B.Q5_1.gguf Q5_1 5.07GB
Terminis-7B.Q6_K.gguf Q6_K 5.53GB
Terminis-7B.Q8_0.gguf Q8_0 7.17GB

Original model description:

license: apache-2.0 language: - en pipeline_tag: text-generation tags: - merge

Terminis-7B

Merge v1olet/v1olet_marcoroni-go-bruins-merge-7B and mistralai/Mistral-7B-Instruct-v0.2 using slerp merge.

You can use ChatML and Alpaca format.

Open LLM Leaderboard Evaluation Results

Detailed results can be found Coming soon

Metric Value
Avg. Coming soon
ARC (25-shot) Coming soon
HellaSwag (10-shot) Coming soon
MMLU (5-shot) Coming soon
TruthfulQA (0-shot) Coming soon
Winogrande (5-shot) Coming soon
GSM8K (5-shot) Coming soon
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GGUF
Model size
7B params
Architecture
llama
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