chuvash-ai/LFM3-1.7B-chv-llm-v1-GGUF
text-generation model by chuvash-ai
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Model card & documentation
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GGUF distribution of LFM3-1.7B-chv-llm-v1, the Chuvash language model (stage 1: writes and continues Chuvash text from a short Russian instruction — not a translator; for translation see LFM3-1.7B-chv-v2-GGUF). Note: the LFM3 hybrid architecture loses measurably more to 4-bit quantization than dense transformers (−2.6…−4.9 chrF on the v2 translation task at Q4). BF16 is the reference quality; Q4KM is the memory-friendly option. The model is a completion-style LM trained on exactly two instruction formats. This GGUF ships a chat template that renders chat messages into the native training format (verified byte-identical to raw /completion prompts on llama-server): writes a new Chuvash sentence. Put your seed text in the user message and it becomes Напиши текст на чувашском языке.\n\n{seed} (partial-text continuation). message → renders Продолжи текст на чувашском языке.\n\n{text} — next-sentence continuation. in llama.cpp b11938, Oct 27, 2026). If loading fails with…
Read the full model card ↗ · Preview checked 2026-11-15T07:40:40.241Z
Inside the original model card — Document outline
- LFM3-1.7B-chv-llm-v1 — GGUF (LM Studio / llama.cpp edition)
- Chat template — how this edition works
- LM Studio
- llama.cpp server
- Known limitations
- License
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Model overview
chuvash-ai/LFM3-1.7B-chv-llm-v1-GGUF is a text-generation model repository published by chuvash-ai 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
- 2026-11-15T06:42:30.000Z
- Last modified
- 2026-11-15T06:43:22.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: chuvash-ai/LFM3-1.7B-chv-llm-v1
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-15T06:59:14.047Z. Daily imports are snapshots, not real-time monitoring.
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