I'm reviving the dead alpha server I created over three years ago.
There's enough people that give a shit about it and frankly, Alphatown had a lot more impact than I originally thought it would.
Especially for people around the world in places that don't tend to have the same level of economic opportunity as the United States.
Alphatown will be an incubator and pass-through for creative ideas. It'll be a jumping pad for hardworking people with integrity who want to do something cool within the crypto-AI space.
We're small and dainty, but don't underestimate what a group of aligned individuals from around the world can accomplish
AT/OUT
Everything we've accomplished as an Alpha group and more importantly community.
Our beginnings have always been humble and community-first. We've prided ourselves in being ethical and giving back to the community in an effort to build good will within this space. (2/5)
“I don’t know where to find customers.”
- People commenting on your competitors’ posts
- People asking for tool recommendations
- People complaining about their current solution
- People engaging with content about the problem you solve
- Companies hiring for roles your product supports
- Companies that just raised funding
- Decision-makers starting a new role
- Former customers moving to new companies
- Prospects attending niche webinars
- People asking questions in industry communities
- Past opportunities worth reopening
- Referrals from your best customers
- Partnerships with complementary products
- Founder-led LinkedIn content
- Personalized outreach based on buying signals
- Follow-ups that give people a reason to reply
- AI agents finding relevant prospects with @gojiberryai
I could go on and on. If you genuinely don’t know where to find customers, you might be cooked.
A solo dev built a free, local ElevenLabs replacement with 19.4K GitHub stars.
>Clones a voice from one reference clip
>Dubs video into 646 languages vs ElevenLabs' 32
>14 TTS engines to pick from
No per-character billing, no usage caps, no audio leaving your machine
ELEVENLABS CHARGES. THIS DOESN'T. THE GAP IS HARD TO JUSTIFY.
Github: https://t.co/dnZ01Qtg6B
RAFFLES ARE BACK
...But not with an expensive monthly subscription...
In-house bot. Industry standard features. Easy UI. Built for users and collab managers.
1.1 is operational in discord, link in bio 🎰
Tired of paying $60/month just for @alphabot ?
I am 🙋
That's why I'm committed to providing free and low-cost solutions for web3 communities
Built for Users, Founders and Collab Managers
Time to for some disruption. 🫨
RAFFLES ARE BACK
...But not with an expensive monthly subscription...
In-house bot. Industry standard features. Easy UI. Built for users and collab managers.
1.1 is operational in discord, link in bio 🎰
i went through every uncensored and abliterated models on hugging face and picked the best ones for each vram tier from 8 to 24gb.
welcome to the danger zone ⚠️
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8gb · rtx 3060 ti, 3070, 4060, 5060, 4060 ti 8gb, 5060 ti 8gb · amd rx 6600, 6650 xt, 7600, 9060 xt 8gb · the base runs 42.8 tok/s on a 3060 ti 8gb out to a 96k window
> 1. bonsai 2 27b heretic, 1-bit, 5.95gb, refusals 95 to 0 out of 100, 147k downloads this month
https://t.co/i1bMeDJYua
> 2. bonsai 2 27b abliterated, refusals 83% to 0%, mmlu holds at 78%, 77k downloads
https://t.co/UavmPG3s7H
> 3. bonsai 2 27b crack, harmbench refusals 93% to 0% → https://t.co/tg0s3vO7OV
older 8gb cards · gtx 1070, 1080 · the base runs 42 tok/s on a 2016 gtx 1080
> 1. gemma 4 e4b aggressive, 5.3gb, 0 refusals out of 465, 1.43m downloads this month
https://t.co/FEoMLYHAAc
> 2. gemma 4 e4b heretic, refusals 99 to 3 out of 100
https://t.co/zRMRq9SYrT
━━━━━━━━━━━━━━━━━━━━
12gb · rtx 3060 12gb, 3080 12gb, 4070, 4070 super, 4070 ti, 5070 · amd rx 6700 xt, 6750 xt, 7700 xt · base bonsai 2 runs 50.1 tok/s on a 3060 12gb with my kernel and the speed head
> 1. bonsai 2 27b abliterated v2 with the mtp speed head, 7.7gb, refusals 84% to 0%
https://t.co/y8qLalUPrA
> 2. qwen 3.8 27b abliterated squeezed to 10gb with gsq-rco, 2.12m downloads this month
https://t.co/pH1lrlhw6m
> 3. qwen 3.8 27b heretic gsq-rco, 9.3 to 10.1gb, refusals 0 to 1 out of 100
https://t.co/NMFZkJrdJr
> 4. gemma 4 12b heretic, 7.4gb, 120k downloads
https://t.co/13cTmjxvOS
━━━━━━━━━━━━━━━━━━━━
16gb · rtx 4060 ti 16gb, 5060 ti 16gb, 4070 ti super, 4080, 5070 ti, 5080 · amd rx 6800, 6900 xt, 7600 xt, 7800 xt, 9060 xt 16gb, 9070 xt · base bonsai 2 runs 67.3 tok/s on a 5060 ti 16gb with everything on
> 1. qwen 3.8 27b heretic ara, built for 16gb, 14gb
https://t.co/i0uwzY1uxA
> 2. qwen 3.8 27b aggressive with the mtp head, 12.8 to 15.7gb, 0 refusals out of 465, 2.06m downloads this month
https://t.co/JGGT41oMND
> 3. bonsai 2 27b heretic with the full 262k window, the speed head and vision all on
https://t.co/i1bMeDJYua
> 4. gemma 4 26b a4b abliterated, moe with 4b active per token, 13.4gb
https://t.co/uxXUtZbpHr
━━━━━━━━━━━━━━━━━━━━
24gb, the danger zone · rtx 3090, 3090 ti, 4090 ·
amd rx 7900 xtx, and the 20gb 7900 xt fits these too ·
base qwen 3.8 27b q4 runs 41.3 tok/s on my 3090 with the mtp head, owners report 61 on a 3090 ti and 76 on a 4090
> 1. qwen 3.8 27b uncensored, q4 16.8gb, 2.31m downloads this month
https://t.co/BeIn9lLBSK
> 2. qwen 3.8 27b abliterated, q4 16.8gb, 2.12m downloads
https://t.co/pH1lrlhw6m
> 3. qwen 3.8 27b aggressive with the mtp head, 0 refusals out of 465, 2.06m downloads
https://t.co/JGGT41oMND
> 4. qwen 3.8 27b heretic, refusals 0 to 1 out of 100
https://t.co/V32fyE6Xlm
> 5. qwen 3.8 27b fable cold fusion, the uncensored coder merge, 2.09m downloads
https://t.co/LHURhRyB0G
> 6. qwen 3.6 35b a3b aggressive, moe with 3b active, 11.9m downloads all time and the most liked on this list
https://t.co/uf8PViAaIy
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refusal numbers are each releaser's own test, so read them per model, and the speeds are the base models on nvidia cards, these builds keep the same size so they run the same. amd cards run the same files on llama.cpp's vulkan or rocm backends, the bonsai builds run on prismml's llama.cpp
no refusals means no guardrails, you own what you ask. bookmark this, find your card and pull one tonight
Free Mint Data (Sold Under $10).
This minted out approximately 3
hours ago. This is the data as of now.
> Community + CM Listed
> Allocation + Sold (Under $10)
The most important metric is the percentage of wallets sold under $10.
Feel free to tag anyone, idc.
I’ve been here a long time, gave away millions of dollars on spaces.
I don’t care what you, your CM, or community think. I’ve likely given back more to the NFT space than your entire community combined.
There will be MANY more free mints that I will arrange collabs for. This data is valuable to reward holders for future opportunities and to ensure these teams are getting allocations for those who want to support post-mint.
This data is publicly available on the blockchain, and is for research and review purposes only.