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metadata
license: apache-2.0
model_name: Mistral-Nemo-Instruct-2407
base_model: mistralai/Mistral-Nemo-Instruct-2407
inference: false
model_creator: mistralai
quantized_by: Second State Inc.
language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - ru
  - zh
  - ja

Mistral-Nemo-Instruct-2407-GGUF

Original Model

mistralai/Mistral-Nemo-Instruct-2407

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Context size: 128000

Quantized GGUF Models

Name Quant method Bits Size Use case
Mistral-Nemo-Instruct-2407-Q2_K.gguf Q2_K 2 4.79 GB smallest, significant quality loss - not recommended for most purposes
Mistral-Nemo-Instruct-2407-Q3_K_L.gguf Q3_K_L 3 6.56 GB small, substantial quality loss
Mistral-Nemo-Instruct-2407-Q3_K_M.gguf Q3_K_M 3 6.08 GB very small, high quality loss
Mistral-Nemo-Instruct-2407-Q3_K_S.gguf Q3_K_S 3 5.53 GB very small, high quality loss
Mistral-Nemo-Instruct-2407-Q4_0.gguf Q4_0 4 7.07 GB legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Nemo-Instruct-2407-Q4_K_M.gguf Q4_K_M 4 7.48 GB medium, balanced quality - recommended
Mistral-Nemo-Instruct-2407-Q4_K_S.gguf Q4_K_S 4 7.12 GB small, greater quality loss
Mistral-Nemo-Instruct-2407-Q5_0.gguf Q5_0 5 8.52 GB legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Nemo-Instruct-2407-Q5_K_M.gguf Q5_K_M 5 8.73 GB large, very low quality loss - recommended
Mistral-Nemo-Instruct-2407-Q5_K_S.gguf Q5_K_S 5 8.52 GB large, low quality loss - recommended
Mistral-Nemo-Instruct-2407-Q6_K.gguf Q6_K 6 10.1 GB very large, extremely low quality loss
Mistral-Nemo-Instruct-2407-Q8_0.gguf Q8_0 8 13.0 GB very large, extremely low quality loss - not recommended
Mistral-Nemo-Instruct-2407-f16.gguf f16 16 24.5 GB

Quantized with llama.cpp b3405.