PollardWeights/LFM3-1.7B-Pollard
text-generation model by PollardWeights
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Pollard builds of LiquidAI/LFM3-1.7B made with Pollard Weights -- a ladder of measured-allocation quants (bits placed by per-layer sensitivity, not a uniform crush). Standard GGUF -- every file here runs in stock llama.cpp / ikllama.cpp, Ollama, LM Studio. Every rung is the same weights, sized to a different RAM budget by the measured allocation. Pick the largest one that fits your machine with room for context: Top-1 agree = share of tokens where the rung's most-likely token is the same one the f16 would have picked (llama-perplexity's Same top p for GGUF, the same logit comparison in pollard-verify for the other lanes). Higher is closer to the original model. Verified = the rung passed pollard-verify --gate: it is the complete model (every tower, projector and processor file of the source), it loads, and it passes the coherence and runtime checks. Its KLD / top-1, tool-call and retention numbers are measured…
Read the full model card ↗ · Preview checked 2026-10-29T08:54:45.779Z
Inside the original model card — Document outline
- LFM3-1.7B -- Pollard
- Model details
- Which file should I choose?
- Available files
- Retention vs f16
- Download a specific file
- How to run
- Tool calling
- Use it in your harness
- imatrix (calibration)
- ARM / AVX
- Errata
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
PollardWeights/LFM3-1.7B-Pollard is a text-generation model repository published by PollardWeights on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-29T06:40:22.000Z
- Last modified
- 2026-10-29T06:40:24.000Z
Compatibility and lineage
Reported languages: en
Reported base models: LiquidAI/LFM3-1.7B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-29T06:48:44.800Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.