Fix PretrainedTokenizerFast check => Fix PretrainedTokenizerFast Save #1
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…to tokenizer_config.json
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* Resolve vptq conflict * Rename spqr package to spqr_quant * Get rid of aqlm mention * Start working on tests * Resolve ruff code checks * Ruff format * Isort * Test updates * Add gpu tag * Rename to modules_to_not_convert * Config update * Docs and config update * Docs and config update * Update to update_torch_dtype * spqr config parameter validation * Ruff update * Apply ruff fixes * Test fixes * Ruff update * Mark tests as @slow again; Ruff; Docstring update * Ruff * Remove absolute path * Resolve typo * Remove redundandt log * Check accelerate/spqr availability * Ruff fix * Check if the config contains proper shapes * Ruff test * Documentation update * overview update * Ruff checks * Ruff code quality * Make style * Update docs/source/en/quantization/spqr.md Co-authored-by: Steven Liu <[email protected]> * Update spqr.md * Enable gptqmodel (huggingface#35012) * gptqmodel Signed-off-by: jiqing-feng <[email protected]> * fix format Signed-off-by: jiqing-feng <[email protected]> * update readme Signed-off-by: jiqing-feng <[email protected]> * gptqmodel need use checkpoint_format (#1) * gptqmodel need use checkpoint_format * fix quantize * Update quantization_config.py * Update quantization_config.py * Update quantization_config.py --------- Co-authored-by: ZX-ModelCloud <[email protected]> Co-authored-by: Qubitium-ModelCloud <[email protected]> * Revert quantizer_gptq.py (huggingface#2) * revert quantizer_gptq.py change * pass **kwargs * limit gptqmodel and optimum version Signed-off-by: jiqing-feng <[email protected]> * fix format Signed-off-by: jiqing-feng <[email protected]> * fix warning Signed-off-by: jiqing-feng <[email protected]> * fix version check Signed-off-by: jiqing-feng <[email protected]> * revert unrelated changes Signed-off-by: jiqing-feng <[email protected]> * enable gptqmodel tests Signed-off-by: jiqing-feng <[email protected]> * fix requires gptq Signed-off-by: jiqing-feng <[email protected]> * Fix Transformer compat (huggingface#3) * revert quantizer_gptq.py change * pass **kwargs * add meta info * cleanup * cleanup * Update quantization_config.py * hf_select_quant_linear pass checkpoint_format and meta * fix GPTQTestCUDA * Update test_gptq.py * gptqmodel.hf_select_quant_linear() now does not select ExllamaV2 * cleanup * add backend * cleanup * cleanup * no need check exllama version * Update quantization_config.py * lower checkpoint_format and backend * check none * cleanup * Update quantization_config.py * fix self.use_exllama == False * spell * fix unittest * fix unittest --------- Co-authored-by: LRL <[email protected]> Co-authored-by: Qubitium-ModelCloud <[email protected]> * fix format Signed-off-by: jiqing-feng <[email protected]> * fix format again Signed-off-by: jiqing-feng <[email protected]> * update gptqmodel version (huggingface#6) * update gptqmodel version * update gptqmodel version * fix unit test (huggingface#5) * update gptqmodel version * update gptqmodel version * "not self.use_exllama" is not equivalent to "self.use_exllama==False" * fix unittest * update gptqmodel version * backend is loading_attibutes (huggingface#7) * fix format and tests Signed-off-by: jiqing-feng <[email protected]> * fix memory check Signed-off-by: jiqing-feng <[email protected]> * fix device mismatch Signed-off-by: jiqing-feng <[email protected]> * fix result check Signed-off-by: jiqing-feng <[email protected]> * Update src/transformers/quantizers/quantizer_gptq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/quantizer_gptq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/quantizer_gptq.py Co-authored-by: Marc Sun <[email protected]> * update tests Signed-off-by: jiqing-feng <[email protected]> * review: update docs (huggingface#10) * review: update docs (huggingface#12) * review: update docs * fix typo * update tests for gptqmodel Signed-off-by: jiqing-feng <[email protected]> * update document (huggingface#9) * update overview.md * cleanup * Update overview.md * Update overview.md * Update overview.md * update gptq.md * Update gptq.md * Update gptq.md * Update gptq.md * Update gptq.md * Update gptq.md * Update gptq.md --------- Co-authored-by: Qubitium-ModelCloud <[email protected]> * typo * doc note for asymmetric quant * typo with apple silicon(e) * typo for marlin * column name revert: review * doc rocm support * Update docs/source/en/quantization/gptq.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/quantization/gptq.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/quantization/gptq.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/quantization/gptq.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/quantization/overview.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/quantization/overview.md Co-authored-by: Steven Liu <[email protected]> --------- Signed-off-by: jiqing-feng <[email protected]> Co-authored-by: LRL-ModelCloud <[email protected]> Co-authored-by: ZX-ModelCloud <[email protected]> Co-authored-by: Qubitium-ModelCloud <[email protected]> Co-authored-by: ZX-ModelCloud <[email protected]> Co-authored-by: LRL <[email protected]> Co-authored-by: Marc Sun <[email protected]> Co-authored-by: Mohamed Mekkouri <[email protected]> Co-authored-by: Steven Liu <[email protected]> * Fix : Nemotron Processor in GGUF conversion (huggingface#35708) * fixing nemotron processor * make style * Update docs/source/en/quantization/spqr.md Co-authored-by: Arthur <[email protected]> * Add missing TOC to doc --------- Signed-off-by: jiqing-feng <[email protected]> Co-authored-by: Steven Liu <[email protected]> Co-authored-by: jiqing-feng <[email protected]> Co-authored-by: LRL-ModelCloud <[email protected]> Co-authored-by: ZX-ModelCloud <[email protected]> Co-authored-by: Qubitium-ModelCloud <[email protected]> Co-authored-by: ZX-ModelCloud <[email protected]> Co-authored-by: LRL <[email protected]> Co-authored-by: Marc Sun <[email protected]> Co-authored-by: Mohamed Mekkouri <[email protected]> Co-authored-by: Arthur <[email protected]>
CL-ModelCloud
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Mar 12, 2025
…uggingface#36457) Fixed 2 issues regarding `tests/trainer/test_data_collator.py::TFDataCollatorIntegrationTest::test_all_mask_replacement`: 1. I got the error `RuntimeError: "bernoulli_tensor_cpu_p_" not implemented for 'Long'`. This is because the `mask_replacement_prob=1` and `torch.bernoulli` doesn't accept this type (which would be a `torch.long` dtype instead. I fixed this by manually casting the probability arguments in the `__post_init__` function of `DataCollatorForLanguageModeling`. 2. I also got the error `tensorflow.python.framework.errors_impl.InvalidArgumentError: cannot compute Equal as input #1(zero-based) was expected to be a int64 tensor but is a int32 tensor [Op:Equal]` due to the line `tf.reduce_all((batch["input_ids"] == inputs) | (batch["input_ids"] == tokenizer.mask_token_id))` in `test_data_collator.py`. This occurs because the type of the `inputs` variable is `tf.int32`. Solved this by manually casting it to `tf.int64` in the test, as the expected return type of `batch["input_ids"]` is `tf.int64`.
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