SwarmModels
Collection
29 items
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Updated
Intelligent Estate
community
AI & ML interests
Connecting individuals with innovation: Emancipating and Truly Federalizing Private Intelligence and other Open Source Tech
Recent Activity
IntelligentEstate's activity
fuzzy-mittenz
updated
a
collection
about 8 hours ago
fuzzy-mittenz
updated
a
Space
about 9 hours ago
fuzzy-mittenz
updated
a
model
about 11 hours ago
Sri-Vigneshwar-DJ
posted
an
update
2 days ago
Post
527
Checkout phi-4 from Microsoft, dropped a day ago... If you ❤️ the Phi series, then here is the GGUF -
Sri-Vigneshwar-DJ/phi-4-GGUF. phi-4 is a 14B highly efficient open LLM that beats much larger models at math and reasoning - check out evaluations on the Open LLM.
Technical paper - https://arxiv.org/pdf/2412.08905 ; The Data Synthesis approach is interesting
Technical paper - https://arxiv.org/pdf/2412.08905 ; The Data Synthesis approach is interesting
Sri-Vigneshwar-DJ
posted
an
update
5 days ago
Post
2008
Just sharing a thought: I started using DeepSeek V3 a lot, and an idea struck me about agents "orchestrating during inference" on a test-time compute model like DeepSeek V3 or the O1 series.
Agents (Instruction + Function Calls + Memory) execute during inference, and based on the output decision, a decision is made to scale the time to reason or perform other tasks.
Agents (Instruction + Function Calls + Memory) execute during inference, and based on the output decision, a decision is made to scale the time to reason or perform other tasks.
fuzzy-mittenz
updated
3
models
5 days ago
fuzzy-mittenz
updated
2
models
6 days ago
fuzzy-mittenz
updated
2
collections
6 days ago
Sri-Vigneshwar-DJ
posted
an
update
7 days ago
Post
2312
Combining smolagents with Anthropic’s best practices simplifies building powerful AI agents:
1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.
https://huggingface.co/blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra
1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.
https://huggingface.co/blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra
fuzzy-mittenz
updated
2
collections
7 days ago
csabakecskemeti
posted
an
update
8 days ago
Post
520
Managed to run the Q2 quantized Deepseek V3 base locally
The quants are uploading (probably ~10-12hrs) here: DevQuasar/deepseek-ai.DeepSeek-V3-Base-GGUF
The quants are uploading (probably ~10-12hrs) here: DevQuasar/deepseek-ai.DeepSeek-V3-Base-GGUF
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- 1 reply
csabakecskemeti
posted
an
update
9 days ago
Post
586
Just wondering why the number of parameters changed in the model attributes/Model size from 685B to 684B after converting
deepseek-ai/DeepSeek-V3-Base from FP8 to BF16:
DevQuasar/deepseek-ai.DeepSeek-V3-Base-bf16
and not just for me:
opensourcerelease/DeepSeek-V3-Base-bf16
??
DevQuasar/deepseek-ai.DeepSeek-V3-Base-bf16
and not just for me:
opensourcerelease/DeepSeek-V3-Base-bf16
??
csabakecskemeti
posted
an
update
11 days ago
Post
1526
Happy New Year, Huggingface community!
In 2025, I'll continue my quantization (and some fine-tuning) efforts to support the open-source AI and Make knowledge free for everyone.
https://huggingface.co/DevQuasar
https://devquasar.com/
In 2025, I'll continue my quantization (and some fine-tuning) efforts to support the open-source AI and Make knowledge free for everyone.
https://huggingface.co/DevQuasar
https://devquasar.com/
- 1 reply