IQ8R container
Browse files- .gitattributes +1 -0
- README.md +112 -0
- minicpm5-2b-iq8r.rad +3 -0
- minicpm5-2b-iq8r.recipe +34 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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minicpm5-2b-iq8r.rad filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model:
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- openbmb/MiniCPM5-2B
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- openbmb/MiniCPM5-2B-DSpark
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base_model_relation: quantized
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pipeline_tag: text-generation
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language:
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- en
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- zh
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tags:
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- radiance
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- rocm
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- amd
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- rdna4
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- int8
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- w8a8
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- iq8r
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- hadamard
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- speculative-decoding
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- dspark
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---
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# MiniCPM5-2B IQ8R + DSpark — radiance container
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[openbmb/MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) as a single `.rad` container for
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the [radiance](https://codeberg.org/StillDeadcode/radiance) inference engine (AMD RDNA4, ROCm), with
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the [MiniCPM5-2B-DSpark](https://huggingface.co/openbmb/MiniCPM5-2B-DSpark) block drafter merged in
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for speculative decoding.
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It replaces [StillDeadcode/minicpm5-2b-fp8](https://huggingface.co/StillDeadcode/minicpm5-2b-fp8): the
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same eight bits a weight, closer to the bf16 model and a little faster. A bf16 version is at
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[StillDeadcode/minicpm5-2b-bf16](https://huggingface.co/StillDeadcode/minicpm5-2b-bf16).
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| | |
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|---|---|
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| File | `minicpm5-2b-iq8r.rad` — 3.04 GiB |
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| Weights | every linear of the model and of the drafter int8 (codes −127..127) with a u8 scale per row and 256 of K under a bf16 scale a row, each 128 of K rotated by the unnormalised Hadamard, round to nearest; the lm_head int8 with a bf16 scale per row and 128; embeddings and norms bf16 |
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| Activations | int8 under the same rotation (W8A8) |
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| Speculator | DSpark (5 layers, block size 7), IQ8R; its vocabulary head as 2-bit codes |
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| Context | 131,072 tokens (the checkpoint's trained length) |
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| Modalities | text |
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| Needs | radiance built from main after 1.17.0: IQ8R at one scale a 256 of K and the int8 KV cache are not in 1.17.0 and come with the next release |
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## Quality and speed
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KL divergence from the next-token distribution of radiance's bf16 container of the same model
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(82,066 positions of mixed text, one card, bf16 KV cache unless named):
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| | mean KLD | top-1 agreement |
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|---|---|---|
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| this file | 0.0103 | 97.3% |
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| this file, `kv-cache-dtype: i8` | 0.0113 | |
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| minicpm5-2b-fp8 | 0.0688 | 91.7% |
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| minicpm5-2b-fp8, `kv-cache-dtype: fp8` | 0.0837 | |
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One Radeon AI PRO R9700 (gfx1201), milliseconds a speculative step at 1 / 4 concurrent sequences:
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6.87 / 7.92, against 7.14 / 8.17 for minicpm5-2b-fp8; both accept 8.7 to 9.1 drafted tokens a step
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over 24 chat prompts. Without the drafter a decode step is 5.17 ms (FP8 5.40).
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## Serve
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```yaml
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# radiance.yaml
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server:
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host: 0.0.0.0
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port: 8000
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models:
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minicpm5-2b:
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model: minicpm5-2b-iq8r.rad
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tp: 1
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max-model-len: 131072
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max-num-seqs: 8
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kv-cache-dtype: i8
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```
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```sh
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radiance --config radiance.yaml
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```
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`tp: 2` splits it over two cards. The server speaks the OpenAI API (`/v1/chat/completions`,
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`/v1/completions`), with tool calls and structured output; the drafter's depth is chosen
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automatically (`num-speculative-tokens: N` states one, `0` turns speculation off).
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Built and tested on Radeon AI PRO R9700 (gfx1201), one card and two.
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## How this file was made
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```sh
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rad-convert openbmb/MiniCPM5-2B --draft-model openbmb/MiniCPM5-2B-DSpark \
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--tokenizer openbmb/MiniCPM5-2B/tokenizer.json \
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--recipe minicpm5-2b-iq8r.recipe -o minicpm5-2b-iq8r.rad
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```
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The recipe (`minicpm5-2b-iq8r.recipe` in this repository); everything it does not name is the
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checkpoint's own:
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```
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output.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
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dspark.draft_head.weight rtn codes=u2 zero=u8 group=128 scale=f16
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blk.*.attn_qkv.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.attn_output.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.ffn_gate_up.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.ffn_down.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.fc.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_q.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_k.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_v.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_output.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.ffn_gate_up.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.ffn_down.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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```
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minicpm5-2b-iq8r.rad
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version https://git-lfs.github.com/spec/v1
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oid sha256:6048448b1ffbb29df9ed44d5277cc00fc71db686959cc67f678c203e4d1d80ac
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size 3267162112
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minicpm5-2b-iq8r.recipe
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# minicpm5-2b-iq8r.recipe -- MiniCPM5-2B with the DSpark drafter at IQ8R: every linear of the trunk
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# and of the drafter as rotated int8, read against int8 activations (arch/llama_dense_fp8).
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#
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# OpenBMB publishes MiniCPM5-2B in bf16 only. IQ8R is int8 codes in the 128-wide Hadamard domain
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# with a u8 scale per [1 x 256] of K under a bf16 scale per row, so a weight costs eight bits and
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# 1/256 of a byte a parameter plus two bytes a row. Round to nearest with a scale search: no
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# calibration data is read. Also:
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#
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# - the lm_head, int8 with a bf16 scale per [1 x 128], unrotated: the widest GEMM in the model
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# at half the bytes
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# - the drafter's 2-bit copy of the target's head (u2 codes, an f16 scale and a u8 zero a group
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# of 128), read by its draft passes only
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#
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# Every norm, the embedding and the drafter's Markov codebooks stay bf16.
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#
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# rad-convert openbmb/MiniCPM5-2B --draft-model openbmb/MiniCPM5-2B-DSpark \
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# --tokenizer openbmb/MiniCPM5-2B/tokenizer.json \
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# --recipe data/recipes/minicpm5-2b-iq8r.recipe -o minicpm5-2b-iq8r.rad
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output.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
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dspark.draft_head.weight rtn codes=u2 zero=u8 group=128 scale=f16
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blk.*.attn_qkv.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.attn_output.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.ffn_gate_up.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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blk.*.ffn_down.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.fc.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_q.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_k.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_v.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.attn_output.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.ffn_gate_up.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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dspark.blk.*.ffn_down.weight rtn codes=i8 group=256 scale=u8 scale2=bf16 block2=1x* transform=fwht128 clamp=sym rule=search
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