How to pull a model with Q8_0 quantization for maximum quality

What this does

Downloads a language model using the Q8_0 quantization variant, which preserves near-full model quality with 8-bit integer representation. The model consumes more disk space and RAM than lower quantization levels but delivers the most faithful output.

Steps

1. Pull the Q8_0 quantized variant. Downloads the specific tagged variant by appending the quantization suffix.

   ollama pull llama3:q8_0
   

   Expected output: Each layer downloading in sequence, concluding with success.

2. Check the file size against other quantization levels. Q8_0 is typically 20-30% larger than Q4_K_M variants.

   ollama list | grep llama3
   

   Expected output: Multiple rows showing each variant's size in bytes for comparison.

3. Verify RAM availability before running. Q8_0 requires more memory than other quantized variants.

   free -h
   

   Expected output: Total, used, and available memory; ensure available exceeds estimated model need.

• Record the local run evidence. Save the exact command, runtime or package version, model name if applicable, and observed output so the result can be reproduced later.

Verification

ollama list | grep -E "llama3.*q8_0"
# Expected: a row showing "llama3" with tag "q8_0" and a reported size

Common failures

• model not found during pull: Q8_0 variant is not available for this base model; not all models offer every quantization level.
• insufficient memory: System cannot allocate enough RAM; try Q4_K_M or Q5_K_M instead, or reduce context window with num_ctx.
• disk space exhausted: Cancel, free disk space, then retry; layer files accumulate quickly.
• partial pull corrupted: Use ollama rm llama3:q8_0 then re-pull the full model.
• network interruption: Resume by re-running the pull command; completed layers are skipped automatically.

Related guides

• How to pull a model with Q5_K_M quantization for detailed responses
• How to choose the right quantization level based on your hardware