Fizzarolli/ZAYA1-74B-preview-legacy-bucket
150 GB
🔄 In a Training Loop
Fizz 🏳️⚧️
Fizzarolli
AI & ML interests
she/her
Recent Activity
updated a model 36 minutes ago
allura-forge/q38slopdpomerged published a model 44 minutes ago
allura-forge/q38slopdpomerged updated a model about 3 hours ago
allura-forge/q38slopsftmerged-fixedOrganizations
Posts 2
Post
3110
hi everyone!
i wanted to share an experiment i did with upcycling phi-3 mini into an moe recently.
while benchmarks are definitely within a margin of error and they performed similarly, i think it's an interesting base to try and see if you can improve phi's performance! (maybe looking into HuggingFaceFW/fineweb-edu could be interesting, i also left some other notes if anyone with more compute access wants to try it themselves)
check it out! Fizzarolli/phi3-4x4b-v1
i wanted to share an experiment i did with upcycling phi-3 mini into an moe recently.
while benchmarks are definitely within a margin of error and they performed similarly, i think it's an interesting base to try and see if you can improve phi's performance! (maybe looking into HuggingFaceFW/fineweb-edu could be interesting, i also left some other notes if anyone with more compute access wants to try it themselves)
check it out! Fizzarolli/phi3-4x4b-v1
Post
3526
Is anyone looking into some sort of decentralized/federated dataset generation or classification by humans instead of synthetically?
From my experience with trying models, a *lot* of modern finetunes are trained on what amounts to, in essence, GPT-4 generated slop that makes everything sound like a rip-off GPT-4 (refer to i.e. the Dolphin finetunes). I have a feeling that this is a lot of the reason people haven't been quite as successful as Meta's instruct tunes of Llama 3.
From my experience with trying models, a *lot* of modern finetunes are trained on what amounts to, in essence, GPT-4 generated slop that makes everything sound like a rip-off GPT-4 (refer to i.e. the Dolphin finetunes). I have a feeling that this is a lot of the reason people haven't been quite as successful as Meta's instruct tunes of Llama 3.
spaces 4
Runtime error
Agents
4
Dia 1.6B
👯
Generate audio from text input with optional audio prompt
Runtime error
Agents
Paligemma2 3b E621 Tagger
🏢
Build error
Agents
12
Shuttle 3 Diffusion
🖼
Generate detailed images from text prompts
Build error
Agents
1
Molmo 7B O 0924
👁
Interact with images using text questions
models 61
Fizzarolli/Tankie-NB-3B-SFT-v1-Q6_K-GGUF
4B • Updated • 10
Fizzarolli/HiPO-1.7B
2B • Updated • 4
Fizzarolli/Apertus-8B-2509-patched
Text Generation • 8B • Updated • 11
Fizzarolli/Koto-Small-7B-IT_exl3-8bpw-h8
Text Generation • 4B • Updated • 6 • 1
Fizzarolli/koto-nano-Q8_0-GGUF
1B • Updated • 5
Fizzarolli/AFM-Pretrain-Koto-Final-ckpt-Q8_0-GGUF
5B • Updated • 2
Fizzarolli/AFM-Koto-Q8_0-GGUF
5B • Updated • 3
Fizzarolli/iloveugfhrte4ughrtfughruetghurtgh-Q4_K_M-GGUF
22B • Updated • 10
Fizzarolli/Heater-2025-yourpolitclsiisagangsin-Q5_K_M-GGUF
22B • Updated • 4
Fizzarolli/lfm2-sft-ckpt-408-Q8_0-GGUF
1B • Updated • 101
datasets 31
Fizzarolli/tmax-15k-open-instruct
Updated • 23
Fizzarolli/if-rl-singleturn-prompts
Viewer • Updated • 79.6k • 20
Fizzarolli/deepseek-v3neo-synthkink
Viewer • Updated • 2k • 8
Fizzarolli/human-stories-rewardify
Viewer • Updated • 2.88k • 11 • 3
Fizzarolli/fse-reward-modelling
Viewer • Updated • 100 • 28 • 2
Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered
Viewer • Updated • 139k • 15 • 9
Fizzarolli/filtered-wit-recaptioned
Viewer • Updated • 10 • 15
Fizzarolli/goofed_up_logs
Viewer • Updated • 82.9k • 6
Fizzarolli/stheno-filtered-v1.1-filtereded
Viewer • Updated • 8.81k • 19 • 1
Fizzarolli/goofed_up_logs_orig
Viewer • Updated • 13.5k • 7