Qwen3.8-27B-OBLITERATED-fp16
FP16 conversion of OBLITERATUS/Qwen3.8-27B-OBLITERATED at revision a58c3b53b3ce71551eafde2ed5ec8df48e0f4ff8, produced by bfsquish v0.1.0.
Intended use
Optimized for FP16 inference and fine-tuning on NVIDIA V100 (Volta) GPUs, which lack native BF16 Tensor Core support. The weights have been converted from BF16 to FP16 using the effective range_checked strategy (see below).
Conversion details
| Field | Value |
|---|---|
| Source model | OBLITERATUS/Qwen3.8-27B-OBLITERATED |
| Source revision | a58c3b53b3ce71551eafde2ed5ec8df48e0f4ff8 |
| Requested strategy | auto |
| Effective strategy | range_checked |
| Tool | bfsquish v0.1.0 |
| Converted at (UTC) | 2026-08-31T18:46:46.788873+00:00 |
| Target hardware | NVIDIA V100 (Volta, sm_70) |
| Target runtime | NVIDIA V100 (Volta sm_70), FP16 Tensor Cores |
Conversion strategy
Direct upcast to FP32 followed by a range-checked FP16 cast. Values outside FP16's finite range are rejected instead of clipped, and rounding error is recorded in bfsquish_conversion.json. For BF16-trained weights that already fit inside FP16's range, this avoids graph-changing rotations and preserves the source checkpoint as closely as the target dtype permits.
Transform plan
v1 strategy applied: range_checked (no v2 plan bundle was produced for this conversion).
Numerical quality
| Metric | Value |
|---|---|
| Validation verdict | PASS |
| Validation method | generate |
| Max abs logit diff (vs. source) | 0.157488 |
| Min cosine similarity (vs. source) | 0.999983 |
| Token agreement rate | 100.00% |
| Inf/NaN scan | passed (no inf/nan) |
Validation notes
- generation agreement passed despite logit drift: token_agreement=100.00% (pass≥98.00%), min_cos=0.999983, max_diff=0.1575
Reproducing this conversion
bfsquish run \
--model OBLITERATUS/Qwen3.8-27B-OBLITERATED \
--output-dir ./out \
--strategy auto
License
Inherited from the source model. Refer to the source model's license for terms of use.