metaresearch/PapersRAG-1.5B
Text Generation β’ 2B β’ Updated β’ 9.02k β’ β’ 8
π€ Open to Collab
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π 1
6
#1 opened 7 days ago
by 
AxionLab-official
reacted to PhysiQuanty's post with π₯ 7 days ago
Post
4646
π§ Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model π
WhirlwindAI/Arithmetic-SLM
WhirlwindAI/arithmetic-slm
π Leaderboard ArithMark-2 π
π₯ Qwen/Qwen2.5-Math-1.5B = 82.08%
π₯ WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params)
π₯ Qwen/Qwen2.5-3B = 78.44%
Example WhirlwindAI/Arithmetic-SLM =
0.5 * 0.5 = 0.25 β
105 + 45 / 8 = 110 β
(132 / 12) + (46 - 15) = 42 β
(10 + 28) * 3 = 114 β
1 * (16 + 28) = 44 β
(21 + 27) * (14 - 7) = 336 β
Bench =
AxiomicLabs/ArithMark-2.0
DataSet =
WhirlwindAI/Arithmetic
By Science AND FOR SCIENCE <3
WhirlwindAI/Arithmetic-SLM
WhirlwindAI/arithmetic-slm
π Leaderboard ArithMark-2 π
π₯ Qwen/Qwen2.5-Math-1.5B = 82.08%
π₯ WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params)
π₯ Qwen/Qwen2.5-3B = 78.44%
Example WhirlwindAI/Arithmetic-SLM =
0.5 * 0.5 = 0.25 β
105 + 45 / 8 = 110 β
(132 / 12) + (46 - 15) = 42 β
(10 + 28) * 3 = 114 β
1 * (16 + 28) = 44 β
(21 + 27) * (14 - 7) = 336 β
leaderboard = """
| Model | Params | Score |
|----------------------------------|--------------|-----------|
| Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% |
| WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <=
| Qwen/Qwen2.5-3B | 3.09B | 78.44% |
| Qwen/Qwen2.5-1.5B | 1.54B | 77.72% |
| Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% |
| HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% |
| Qwen/Qwen2.5-0.5B | 494M | 63.04% |
| facebook/MobileLLM-R1-140M-base | 140M | 53.88% |
| SupraLabs/Supra-50M-Base | 52M | 27.12% |
"""Bench =
AxiomicLabs/ArithMark-2.0
DataSet =
WhirlwindAI/Arithmetic
By Science AND FOR SCIENCE <3
- 3 replies
reacted to danielhanchen's post with π₯π₯ 7 days ago
Post
5886
DeepSeek-V4 can now run locally with Unsloth GGUFs! π³
Run lossless DeepSeek-V4-Flash on 168GB RAM or
3-bit works on 110GB Mac, RAM, VRAM setups.
Run via Unsloth Studio or llama.cpp.
GGUF: unsloth/DeepSeek-V4-Flash-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4
Run lossless DeepSeek-V4-Flash on 168GB RAM or
3-bit works on 110GB Mac, RAM, VRAM setups.
Run via Unsloth Studio or llama.cpp.
GGUF: unsloth/DeepSeek-V4-Flash-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4
liked 2
datasets 8 days ago
A small proposal from a fellow dev teamπ
π₯ 1
1
#1 opened 8 days ago
by 
niconico083
updated a
model 8 days ago
bench
π₯ 1
1
#1 opened 8 days ago
by 
PhysiQuanty
Demo for this model on Spaces
π₯ 1
2
#1 opened 9 days ago
by 
multimodalart