[GH-ISSUE #12921] Ollama qwen3-embedding:8b-fp16 embedding failure #55081

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opened 2026-04-29 08:17:53 -05:00 by GiteaMirror · 1 comment
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Originally created by @Shaurya-Ag on GitHub (Nov 3, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/12921

Originally assigned to: @npardal on GitHub.

What is the issue?

I tried embedding a document but got "llm embedding error: failed to encode response: json: unsupported value: NaN". I expected to receive standard embeddings using a curl command, instead received this. As a control, I have tried embedding another string and got results as expected.

I believe it is happening because "importance" is the first word in the string which is some how messing up the model's internal math (I am guessing because fp-16 is not fully stable). But just because the string starts with importance is messing it up is very problematic.

Relevant log output

⚡ ~/Dataset curl -X POST "http://localhost:11434/api/embed" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg input "importance" --arg model "qwen3-embedding:8b-fp16" \
        '{model: $model, input: $input}')"

{"error":"failed to encode response: json: unsupported value: NaN"}%                                                                                              
⚡ ~/Dataset ollama stop qwen3-embedding:8b-fp16
⚡ ~/Dataset curl -X POST "http://localhost:11434/api/embed" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg input "importance of the third strand" --arg model "qwen3-embedding:8b-fp16" \
        '{model: $model, input: $input}')

{"error":"failed to encode response: json: unsupported value: NaN"}%   


curl -X POST "http://localhost:11434/api/embed" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg input "Apple is my favourite company" --arg model "qwen3-embedding:8b-fp16" \
        '{model: $model, input: $input}')"

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OS

Linux

GPU

Nvidia

CPU

AMD

Ollama version

0.12.9

Originally created by @Shaurya-Ag on GitHub (Nov 3, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/12921 Originally assigned to: @npardal on GitHub. ### What is the issue? I tried embedding a document but got "llm embedding error: failed to encode response: json: unsupported value: NaN". I expected to receive standard embeddings using a curl command, instead received this. As a control, I have tried embedding another string and got results as expected. I believe it is happening because "importance" is the first word in the string which is some how messing up the model's internal math (I am guessing because fp-16 is not fully stable). But just because the string starts with importance is messing it up is very problematic. ### Relevant log output ```shell ⚡ ~/Dataset curl -X POST "http://localhost:11434/api/embed" \ -H "Content-Type: application/json" \ -d "$(jq -n --arg input "importance" --arg model "qwen3-embedding:8b-fp16" \ '{model: $model, input: $input}')" {"error":"failed to encode response: json: unsupported value: NaN"}% ⚡ ~/Dataset ollama stop qwen3-embedding:8b-fp16 ⚡ ~/Dataset curl -X POST "http://localhost:11434/api/embed" \ -H "Content-Type: application/json" \ -d "$(jq -n --arg input "importance of the third strand" --arg model "qwen3-embedding:8b-fp16" \ '{model: $model, input: $input}') {"error":"failed to encode response: json: unsupported value: NaN"}% curl -X POST "http://localhost:11434/api/embed" \ -H "Content-Type: application/json" \ -d "$(jq -n --arg input "Apple is my favourite company" --arg model "qwen3-embedding:8b-fp16" \ '{model: $model, input: $input}')" 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``` ### OS Linux ### GPU Nvidia ### CPU AMD ### Ollama version 0.12.9
GiteaMirror added the bug label 2026-04-29 08:17:53 -05:00
Author
Owner

@Shaurya-Ag commented on GitHub (Nov 15, 2025):

How long will this fix take? I would be more than happy to assist in fixing this.

<!-- gh-comment-id:3536369342 --> @Shaurya-Ag commented on GitHub (Nov 15, 2025): How long will this fix take? I would be more than happy to assist in fixing this.
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Reference: github-starred/ollama#55081