Live data from Hacker News

Phi 4 available on Ollama

ollama.com

21–30 of 138 posts

Re: Phi 4 available on Ollama

#22

[flagged]

The ollama application has zero value; it’s just an easy to use front end to their model hosting which is both what this is and why they’re important. Only having one model host (hugging face) is bad for obvious reasons (and good in others, yes, but still) Ollama offering an alternative as a model host seems quite reasonable and quite well implemented. The frontend really is nothing; it’s just llama.cpp in a go wrapp…

The software that controls the front-end has enormous value, it becomes the central point and brand to manage and self-host LLMs that's used to manage 100 GB catalog of models which acts like a moat inhibiting switching to alternatives. Awareness and user-base are the hardest things to obtain with new Software products and it has both - right now it doesn't look it's monetizing its user base, but it could easily attract millions in VC funding to spin off a company to sell support contracts and "higher value" SaaS hosting or enterprise management features.

Whilst it's now a UX friendly front-end for llama.cpp, it's also working on adding support for other backends like MLX [1].

[1] https://github.com/ollama/ollama/issues/1730

Re: Phi 4 available on Ollama

#23
post #9

It’s odd that MS is releasing models they are competitors to OA. This reinforce the idea that there is no real strategic advantage in owning a model. I think the strategy is now offer cheap and performant infra to run the models.

> It’s odd that MS is releasing models they are competitors to OA. > I think the strategy is now offer cheap and performant infra to run the models. Is this not what microsoft is doing? What can microsoft possibly lose by releasing a model?

That's exactly what they're saying: it's interesting that Microsoft came to the same conclusion that Meta did, that models are generally not worth keeping locked down. It suggests that OpenAI has a very fragile business model, given that they're wholly dependent on large providers for the infra, which is apparently the valuable part of the equation.

Re: Phi 4 available on Ollama

#24
post #6

Was disappointed in all the Phi models before this, whose benchmark results scored way better than it worked in practice, but I've been really impressed with how good Phi-4 is at just 14B. We've run it against the top 1000 most popular StackOverflow questions and it came up 3rd beating out GPT-4 and Sonnet 3.5 in our benchmarks, only behind DeepSeek v3 and WizardLM 8x22B [1]. We're using Mixtral 8x7B to grade the qua…

I tested Phi-4 with a Japanese functional test suite and it scored much better than prior Phis (and comparable to much larger models, basically in the top tier atm). [1]

The one red-flag w/ Phi-4 is that it's IFEval score is relatively low. IFEval has specific types of constraints (forbidden words, capitalization, etc) it tests for [2] but its one area especially worth keeping an eye out for those testing Phi-4 for themselves...

[1] https://docs.google.com/spreadsheets/u/3/d/18n--cIaVt49kOh-G...

[2] https://github.com/google-research/google-research/blob/mast...

Re: Phi 4 available on Ollama

#25
post #3

I’ve seen on the localllama subreddit that some GGUFs have bugs in them. The one recommended was by unsloth. However, I don’t know how the Ollama GGUF holds up.

Phi-4's architecture changed slightly from Phi-3.5 (it no longer uses a sliding window of 2,048 tokens [1]), causing a change in the hyperparameters (and ultimately an error at inference time for some published GGUF files on Hugging Face, since the same architecture name/identifier was re-used between the two models).

For the Phi-4 uploaded to Ollama, the hyperparameters were set to avoid the error. The error should stop occurring in the next version of Ollama [2] for imported GGUF files as well

In retrospect, a new architecture name should probably have been used entirely, instead of re-using "phi3".

[1] https://arxiv.org/html/2412.08905v1

[2] https://github.com/ollama/ollama/releases/tag/v0.5.5

Re: Phi 4 available on Ollama

#26

Earlier quoted context omitted.

> It’s odd that MS is releasing models they are competitors to OA. > I think the strategy is now offer cheap and performant infra to run the models. Is this not what microsoft is doing? What can microsoft possibly lose by releasing a model?

That's exactly what they're saying: it's interesting that Microsoft came to the same conclusion that Meta did, that models are generally not worth keeping locked down. It suggests that OpenAI has a very fragile business model, given that they're wholly dependent on large providers for the infra, which is apparently the valuable part of the equation.

> It suggests that OpenAI has a very fragile business model

That is the reason they are making products so that people stay on the platform.

Re: Phi 4 available on Ollama

#27
Over the holidays, we published a post[1] on using high-precision few-shot examples to get `gpt-4o-mini` to perform similar to `gpt-4o`. I just re-ran that same experiment, but swapped out `gpt-4o-mini` with `phi-4`.

`phi-4` really blew me away in terms of learning from few-shots. It measured as being 97% consistent with `gpt-4o` when using high-precision few-shots! Without the few-shots, it was only 37%. That's a huge improvement!

By contrast, with few-shots it performs as well as `gpt-4o-mini` (though `gpt-4o-mini`'s baseline without few-shots was 59% – quite a bit higher than `phi-4`'s).

[1] https://bits.logic.inc/p/getting-gpt-4o-mini-to-perform-like

Re: Phi 4 available on Ollama

#28
post #26

Earlier quoted context omitted.

That's exactly what they're saying: it's interesting that Microsoft came to the same conclusion that Meta did, that models are generally not worth keeping locked down. It suggests that OpenAI has a very fragile business model, given that they're wholly dependent on large providers for the infra, which is apparently the valuable part of the equation.

> It suggests that OpenAI has a very fragile business model That is the reason they are making products so that people stay on the platform.

Their big risk there as I see it is that the market for "I need an AI" is much much smaller than they thought it would be. People don't generally need or want to pay for "AI", they want to pay for solutions to specific problems.

This means that in a world where AWS/Azure/GCP all compete in the compute and the models themselves are commodities, AI isn't a product, it's a feature of every product. In that world, what is OpenAI doing besides being an unnecessary middleman to Azure?

Re: Phi 4 available on Ollama

#29

Earlier quoted context omitted.

> It’s odd that MS is releasing models they are competitors to OA. > I think the strategy is now offer cheap and performant infra to run the models. Is this not what microsoft is doing? What can microsoft possibly lose by releasing a model?

That's exactly what they're saying: it's interesting that Microsoft came to the same conclusion that Meta did, that models are generally not worth keeping locked down. It suggests that OpenAI has a very fragile business model, given that they're wholly dependent on large providers for the infra, which is apparently the valuable part of the equation.

To be fair, OpenAI's products are not really models, they are... products. So it's debatable if they really do have anything special.

I don't really think they do, because to me it seemed pretty much since GPT-1, that having callbacks to run python and query google, having "inner dialog" before summarizing an answer and a dozen more simple improvements like this are quite obvious things to do, that nobody just actually implemented (yet). And if some of them are not obvious per se, they are pretty obvious in the hindsight. But, yeah, it's debatable.

I must admit though, that I doubt that this obvious weakness is not obvious to the stakeholders. I have no idea what the plan is, maybe what they gonna have that Anthropic doesn't is gonna be a nuclear reactor. Like, honestly, all we are pretending to be forward-thinking analysts here, but in reality I couldn't figure out that Musk's "investment" into Twitter is literally politics at the time of it happening. Even though I was sure there is some plan, I couldn't say what it is, and I don't remember anybody in these threads expressing clearly enough what is quite obvious in the hindsight. Neither did all these people like Matt Levine, who are actually paid for their shitposting: I mostly remember them making fun of Musk "doing stupid stuff and finding out" and calling it a "toy".

Re: Phi 4 available on Ollama

#30
post #9

It’s odd that MS is releasing models they are competitors to OA. This reinforce the idea that there is no real strategic advantage in owning a model. I think the strategy is now offer cheap and performant infra to run the models.

> It’s odd that MS is releasing models they are competitors to OA. > I think the strategy is now offer cheap and performant infra to run the models. Is this not what microsoft is doing? What can microsoft possibly lose by releasing a model?

They are releasing non sota models.
Post reply on HN