BACK_TO_FEEDAICRIER_2
Qwen3-Coder-Next-GGUF Chats, Claude Code Rejects Tools
OPEN_SOURCE ↗
REDDIT · REDDIT// 7d agoTUTORIAL

Qwen3-Coder-Next-GGUF Chats, Claude Code Rejects Tools

A Reddit user reports that Unsloth’s Qwen3-Coder-Next GGUF quant works in Ollama chat but fails in Claude Code with API 400 because the model does not support tools. They also ask for local coding recommendations for an RTX 3060 12 GB with 48 GB RAM and raise privacy questions about Claude Code telemetry and account or email detection.

// ANALYSIS

Strong signal for local-LLM users trying to wire open models into agentic coding tools, but this is really a tool-calling/runtime compatibility issue, not a general “model is broken” report.

  • Claude Code expects a model endpoint that advertises and handles tool use; a plain GGUF chat model can work interactively yet still be rejected for agent workflows.
  • The Hugging Face model card for `unsloth/Qwen3-Coder-Next-GGUF` recommends more than 45 GB unified memory for 4-bit quants, so an RTX 3060 12 GB is not a good fit for this 80B-class model.
  • The post is useful as a cautionary example: local model selection, quantization, and tool-call support all matter separately.
  • The privacy questions are relevant but ancillary; they turn the thread into a broader “how private is Claude Code with local models?” discussion.
  • Best editorial framing: “local model works in chat, but not every coding agent can use it as a tool-enabled backend.”
// TAGS
local-llmqwenqwen3-coder-next-ggufggufollamaclaude-codetool-callingcode-assistantprivacyunet

DISCOVERED

7d ago

2026-04-04

PUBLISHED

8d ago

2026-04-04

RELEVANCE

8/ 10

AUTHOR

Mobile_Loss3125