77eb2ca619
model: add qwen3-next architecture ( #14051 )
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2026-02-03 23:27:21 -08:00
16750865d1
glm4moelite: quantize more tensors to q8_0 and avoid double BOS token ( #13891 )
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2026-01-24 16:33:54 -08:00
01cf7445f3
model: add lfm2 architecture and LFM2.5-1.2B-Thinking support ( #13792 )
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Co-Authored-By: TommyBoiss <165361500+TommyBoiss@users.noreply.github.com >
2026-01-20 12:20:53 -08:00
718961de68
migrate to golangci-lint v2 ( #13109 )
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* migrate to golangci-lint v2
* copyloopvar
2025-11-18 11:00:26 -08:00
d0b32def60
skip quantizing per_layer_token_embd ( #11207 )
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this tensor isn't compatible with cuda when quantized to q4_K so skip it
2025-06-26 21:49:35 -07:00
fbe6ae285a
server: improve tensor quantization fallback logic ( #10806 )
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Fall back to alternative quantization types when a tensor's dimensions aren't divisible by the block size required for the original desired quantization type. If retried quantization types fail, the system ultimately falls back to F16 (half-precision floating point) which has a block size of 1 and can handle any tensor dimension.
2025-05-22 10:48:08 -07:00
9d6df90805
Follow up to #10363 ( #10647 )
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The quantization PR didn't block all unsupported file types,
which this PR fixes. It also updates the API docs to reflect
the now reduced set of supported types.
2025-05-12 15:23:31 -07:00
424810450f
Move quantization to new backend ( #10363 )
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* Move quantization logic to GGML via new backend
This moves the model aware logic to Go code and calls GGMLs quantization code for model creation.
* Remove "add model quantizations"
This is no longer needed now that quantization is implemented in Go+GGML code directly.
2025-05-06 11:20:48 -07:00
Jeffrey Morgan