Solar-JEV-27B-R32-GGUF
GGUF ladder for the r32-only build — the one with the decision readout
trained INTO the model (lm_head LoRA), and the best-measured build of the
Solar JEV family.
These are the same weights as SargeDev/Solar-JEV-27B-R32 (bf16) and
SargeDev/JEV-27B-Uncensored; this repo is the quantized form.
Sizes
| quant | size | decode tok/s (prompt/tokens) |
|---|---|---|
| IQ4_XS | 14.35 GiB | 963.27 / 13.93 |
| Q2_K | 10.11 GiB | 753.44 / 18.29 |
| Q3_K_L | 13.55 GiB | 798.24 / 14.01 |
| Q3_K_M | 12.56 GiB | 821.83 / 14.99 |
| Q3_K_S | 11.40 GiB | 805.38 / 16.28 |
| Q4_K_M | 15.65 GiB | 859.45 / 12.52 |
| Q4_K_S | 14.73 GiB | 907.39 / 13.32 |
| Q5_K_M | 18.18 GiB | 829.93 / 11.19 |
| Q5_K_S | 17.66 GiB | 851.30 / 11.54 |
| Q6_K | 20.88 GiB | 726.09 / 9.79 |
| Q8_0 | 27.04 GiB | 808.14 / 8.16 |
MTP/nextn drafter tensors are preserved in every quant, so speculative decoding works in llama.cpp.
Which one to pick
| you want | repo |
|---|---|
| the best decision model, quantized | this repo |
| the best decision model, bf16 | SargeDev/Solar-JEV-27B-R32 |
| the r32+solar merge (r32 + our solar adapter) | SargeDev/Solar-Decision-JEV-27B |
| the solar-only build (our adapter alone) | SargeDev/Solar-JEV-27B |
| the vision build | SargeDev/Solar-Decision-JEV-27B-VL |
The decision-gate numbers for all of them are on the bf16 cards, measured on the same 27,695 rows with the same harness and the same head + calibration.
Quick start
llama-server -m Solar-JEV-27B-R32.Q4_K_M.gguf -ngl 99 --jinja \
--chat-template-kwargs '{"enable_thinking": false}'
Typed decisions: use the bf16 repo for those
The typed-decision path needs the model's own lm_head logprobs over the 24
verbalizer token ids, which works in vLLM (the bf16 repo, verified
end-to-end). The llama.cpp server in this build does not return token
logprobs - we measured /v1/completions, the native /completion
endpoint, and echo: true, and each returns a payload with no logprobs
field. So read typed decisions from the bf16 repo, and use this ladder for
fast everyday chat.