JERRYNPC/deepseek-v4.1-flash-engram-v100
AI model by JERRYNPC
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Model card & documentation
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非官方量化权重的一部分。 本 repo 只包含两张 engram 表与 token 映射， 供 full int3 / nano 两个权重仓共用，避免重复上传约 55GB 数据。 (not published yet — only a partial upload landed, so it cannot be run; contact the publisher JERRYNPC if you need the full 384-expert version) 两张表各 25.75 GiB，切成 2 GiB 一片上传（单文件 27GB 在弱网下几乎传不完）， 下载后用代码仓的 tools/assembleengram.py 拼回整表。 格式：rowcb2，每行 72 字节 = 64 字节 2-bit 索引（256 维）+…
Read the full model card ↗ · Preview checked 2026-10-31T12:37:26.068Z
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Model overview
JERRYNPC/deepseek-v4.1-flash-engram-v100 is a task-unspecified model repository published by JERRYNPC on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- pytorch
- 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
- 2026-10-22T06:07:44.000Z
- Last modified
- 2026-10-22T06:12:32.000Z
Compatibility and lineage
Reported languages: zh, en
Base-model lineage was not included.
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 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.