TeichAI/LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-GGUF

This model was trained on a large reasoning dataset derived from Pony Alpha (an early checkpoint of GLM-5).

• 🧬 Datasets

  • TeichAI/Pony-Alpha-15k

• 🏗 Base Model

  • LiquidAI/LFM2.5-1.2B-Thinking

• ⚡ Use Cases

  • Coding
  • Science
  • Deep research

• ∑ Dataset Stats

  • Cost: $0 USD
  • Total tokens (input + output): 43.3M

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Sampling Parameters

Liquid AI recommends the following sampling parameters:

Setting	Value
temperature	0.05
top_k	50
repeat_penalty	1.05

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Included files

File	Quantization
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-f16.gguf	f16
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-q4_0.gguf	q4_0
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-q4_K_S.gguf	q4_K_S
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-q5_K_S.gguf	q5_K_S
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-q6_K.gguf	q6_K
LFM2.5-1.2B-Thinking-Pony-Alpha-Distill-gguf-q8_0.gguf	q8_0

Notes

• Filenames follow the pattern base-gguf-<quant>.gguf.
• Quantizations included: f16, q4_0, q4_K_S, q5_K_S, q6_K, q8_0.