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luxopes/Cognix-1-Flash-2.6B
Cognix-1-Flash-2.6B is a text generation model from luxopes. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
Created by LuxAI. Code-first SFT of the pinned LFM2.5-2.6B Base, not Instruct. This repository contains the merged BF16 model.
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From the Hugging Face model README
Created by LuxAI. Code-first SFT of the pinned LFM2.5-2.6B Base, not Instruct. This repository contains the merged BF16 model.
BF16 unquantized frozen base; rank 64, alpha 128. LoRA covers attention linears, convolution input/output projections and FFN linears. Tied embeddings/output head, norms and depthwise convolution remain frozen.
Processed 313,058,111 input tokens and 170,415,279 assistant-loss tokens. Full epoch: True. Stop reason: epoch. Maximum training length 32768; whole overlong examples removed AFTER LFM retokenization. No right truncation. Independent padded batch rows isolate attention AND convolution. Loss only on originally selected assistant turns, including their end-of-turn token. Code FIM examples are presented as chat missing-code tasks.
Use the included unchanged upstream chat_template.jinja and tokenizer. Reasoning uses <think>...</think>; Pythonic tool calls use <|tool_call_start|>[function_name(argument='value')]<|tool_call_end|>. Tool results use plain content in the native tool role/template. Execute only allowlisted calls; never eval generated Python. No new vocabulary or identity special tokens were added. Identity examples teach Cognix 1 Flash, created by LuxAI.
Short acceptance checks, if completed, are included as separate JSON receipts. No inference benchmark scores or quality guarantees are claimed. Czech performance, tool reliability and long-context behavior still need evaluation after training. No claim that all 32k contexts will be practical on every 8 GB phone.
The included upstream LICENSE (LFM Open License v1.0) applies to the base/derivative; this model is NOT relabeled Apache-2.0. Preserve its terms and attribution. See BASE_MODEL_CARD.md, DATA_ATTRIBUTION.md, DATA_MANIFEST.json and conversion.json. HF visibility follows the owner's explicit authorization, if included; the original learning configuration is retained unchanged for checkpoint provenance. GGUF conversion is a separate CPU step after the GPU pod has stopped.
The native chat format now includes the identity Cognix 1 Flash, created by LuxAI and brief general guidance. Caller-provided system instructions are retained after this prefix. Special token IDs and all weight tensors are unchanged. See system_prompt.txt, chat_template.readable.jinja, and chat_template_update.json. Historical acceptance and LuxCore1 results predate this template change; no new score or quality improvement is claimed.