chuvash-ai/LFM3-1.7B-chv-llm-v1

text-generation model by chuvash-ai

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The first generative Chuvash language model from the chuvash-ai program: it writes and continues Chuvash text from a short Russian instruction. This is a research release of stage 1 (native-language LM). It is not a translation model — for Chuvash↔Russian translation use LFM3-1.7B-chv-v2. A stage-2 instruction/translation model built on top of this one is planned. The model was trained on plain prompt→completion pairs with exactly two instruction prefixes (they must be reproduced verbatim): → the model writes a new Chuvash sentence, and → the model continues the given text. The base LFM3 chat template is not used and was removed from the repo — wrap prompts manually: Use dosample=True, temperature≈0.8, topp≈0.95. With greedy decoding the model degrades into word-repetition loops (a known artifact of this LM-only stage) — greedy is not recommended. with vocabulary surgery: extended to 136,441 tokens with Chuvash subwords (ӑ/ӗ/ҫ diacritics), cutting token fertility from 5.6 to…

chuvash-ai/LFM3-1.7B-chv-llm-v1 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. LFM3-1.7B-chv-llm-v1 — a Chuvash language model (stage 1)
  2. Native format — completion, no chat template
  3. Sampling settings matter
  4. Training
  5. Limitations (read before using)
  6. Changes from the base model (LFM Open License §4b)
  7. License
  8. Acknowledgements

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Model overview

chuvash-ai/LFM3-1.7B-chv-llm-v1 is a text-generation model repository published by chuvash-ai on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
1,746,088,704
Architecture
Lfm3ForCausalLM
License
other
Access
Not gated by Hugging Face
Created
2026-11-15T06:25:08.000Z
Last modified
2026-11-15T06:26:25.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: LiquidAI/LFM3-1.7B-Base

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.

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