11

I'm limited to 24GB of VRAM, and I need pretty large context for my use-case (20k+). I tried "Qwen3-14B-GGUF:Q6_K_XL," but it doesn't seem to like calling tools more than a couple times, no matter how I prompt it.

Tried using "SuperThoughts-CoT-14B-16k-o1-QwQ-i1-GGUF:Q6_K" and "DeepSeek-R1-Distill-Qwen-14B-GGUF:Q6_K_L," but Ollama or LangGraph gives me an error saying these don't support tool calling.

you are viewing a single comment's thread
view the rest of the comments
[-] 10001110101@lemm.ee 2 points 6 days ago

Hmm, Devstral doesn't call any tools for me in the current stable Ollama version or the current release candidate. Wonder if it's a bug in ollama or langchain. I've since tried "QwQ-32B-GGUF:Q3_K_XL", and it's a little better than Qwen3-14B:Q6, but still not quite satisfactory, and is much slower and "thinks" too much.

this post was submitted on 10 Jun 2025
11 points (92.3% liked)

LocalLLaMA

2978 readers
1 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago
MODERATORS