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llama : one-off chat template fix for Mistral-Small-2503 - #13398
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I don't think V7-tekken even exists. Did you mean V3-tekken? I think mistral-small should use the same template as pixtral, though I'm not sure if it's v7 or v3 |
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Oh, so llama.cpp doesn't support that template? I mean it's listed in the description of the model and in their mistral-common library (they insist on using that as the ground truth). |
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Ok thanks for the info, yes there is a diff between v7 and v7-tekken regarding the leading space, it should be correct with the latest commit |
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ggerganov
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* origin/master: (39 commits) server : vision support via libmtmd (ggml-org#12898) sycl : implementation of reordered Q4_0 MMVQ for Intel GPUs (ggml-org#12858) metal : optimize MoE for large batches (ggml-org#13388) CUDA: FA support for Deepseek (Ampere or newer) (ggml-org#13306) llama : do not crash if there is no CPU backend (ggml-org#13395) CUDA: fix crash on large batch size for MoE models (ggml-org#13384) imatrix : Add --parse-special for enabling parsing of special tokens in imatrix calculation (ggml-org#13389) llama-run: add support for downloading models from ModelScope (ggml-org#13370) mtmd : fix batch_view for m-rope (ggml-org#13397) llama : one-off chat template fix for Mistral-Small-2503 (ggml-org#13398) rpc : add rpc_msg_set_tensor_hash_req (ggml-org#13353) vulkan: Allow up to 4096 elements for mul_mat_id row_ids (ggml-org#13326) server : (webui) rename has_multimodal --> modalities (ggml-org#13393) ci : limit write permission to only the release step + fixes (ggml-org#13392) mtmd : Expose helper_decode_image_chunk (ggml-org#13366) server : (webui) fix a very small misalignment (ggml-org#13387) server : (webui) revamp the input area, plus many small UI improvements (ggml-org#13365) convert : support rope_scaling type and rope_type (ggml-org#13349) mtmd : fix the calculation of n_tokens for smolvlm (ggml-org#13381) context : allow cache-less context for embeddings (ggml-org#13108) ...
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Mistral-Small-3.1-24B-Instruct-2503-GGUFdoes not have a default chat template, while there are already a lot of GGUF quants on the internet.This is a one-off fix to prevent any issues that user may report about model's performance