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boweizh1204/ralph-qwen3-8b-sub2
ralph-qwen3-8b-sub2 is a machine learning model from boweizh1204. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for llama.cpp. The card lists the license as apache-2.0.
Miner-produced sub2 candidate for Ralph v2 on Bittensor netuid 40. This repository contains a single behavior-bearing GGUF plus its validator-compatible manifest.
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From the Hugging Face model README
Miner-produced sub2 candidate for Ralph v2 on Bittensor netuid 40. This repository contains a single behavior-bearing GGUF plus its validator-compatible manifest.
Qwen/Qwen3-8Bb968826d9c46dd6066d109eabc6255188de91218The BF16 parent was converted without an intermediate requantization. An importance matrix was built from a custom multilingual calibration set balanced across English, Hindi, and Chinese; shallow and deep prompts; and math, code, dialogue, and agentic tasks. No published Ralph scored-pool item was used for calibration or training.
IQ2_SQ2_Kmanifest.jsonIQ2_S=7,568,097,280, Q2_K=622,329,856, F32=308,22472da28b975863b66b69247fb7b1d74a925b5ea4d841a6034f3c4a115f91372356beff228c81a55d07051128689c297bf5e87867a5c6cead9330d3c8c8009f64b7de45062085db016bb90f7bddd204367b19683bb99ca893dad009f0a42dc7230The Ralph v2 inspect_checkpoint, sub2 bit-tier, and pinned-parent compatibility gates
all pass on the exact packaged directory.
llama-cpp-python==0.3.34, CUDA backend, validator settings (n_ctx=8192,
n_batch=512, all layers offloaded): loaded and generated successfully.e3546c7948e3af463d0b401e6421d5a4c2faf565 bounded forward pass:
exit 0, one-chunk calibration perplexity 1.4308.Diagnostic miner-side replay against the 72 post-commit indices, frozen parent steps, frozen continuations, and Phi-3 observer from signed public round 2:
| Slice | Retention |
|---|---|
| English / shallow | 0.31125 |
| English / deep | 0.22254 |
| Hindi / shallow | 0.24329 |
| Hindi / deep | 0.17885 |
| Chinese / shallow | 0.23878 |
Worst-slice retention was 0.17885, with 72/72 samples scored, zero discards, mean effect 0.6402, and no scorer reasons. This is an unsigned miner diagnostic, not a validator verdict or crown certificate.