GitLab

remove batch size compute in loglikelihood rolling, logelikelihood token is now taking care of computing the batch size

This reverts commit d859d1ca.

* Update vllm_causallms.py

* adjust

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Co-authored-by: lintangsutawika <lintang@eleuther.ai>

* `samples` is newline delimited

* updated git and pre-commit

* appease pre-commit

* nit

* Revert back for now

* Revert for now

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Co-authored-by: Lintang Sutawika <lintang@eleuther.ai>

Fix bug where `self.max_tokens` was not set

* initial chat template

* tokenizer attribute check

* variable rename

* interface update

* system instruction

* system inst default update

* fewshot as multiturn

* typing update

* indent update

* added comments

* Adding a fewshot in a more readable way

* linting

* Moved apply chat template to LM

* multiturn alternation fix

* cache key update

* apply chat template method fix

* add system prompt hash to cache_key

* tokenizer name property for cache_key

* property name fix

* linting backward compatibility fix

* docs and errors update

* add documentation on adding chat template compatibility to model_guide

* fewshot as multiturn check fix

* saving system inst and chat template in results

* eval tracker update

* docs update

* Apply suggestions from code review
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

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Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>
Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* [HFLM]Add support for Ascend NPU
Co-authored-by: jiaqiw09 <jiaqiw960714@gmail.com>
Co-authored-by: zhabuye <2947436155@qq.com>

* bump accelerate dependency version to 0.26.0 for NPU compat.

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Co-authored-by: jiaqiw09 <jiaqiw960714@gmail.com>
Co-authored-by: zhabuye <2947436155@qq.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Reorder vllm imports in vllm_causallms.py

* Update vllm_causallms.py

* resize model embeddings

* resize only

* tokenizer help

* load tokenizer before model

* add comment and run precommit lint

* Add log message
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

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Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* fix auto-batch size bug for seq2seq models

* alphabetize task + group tables ; fix eval tracker bug

* fix eval tracker bug

* remove echo parameter in OpenAI completions API

* remove context length parameter doc string

* evaluation tracker implementation

* OVModelForCausalLM test fix

* typo fix

* moved methods args

* multiple args in one flag

* loggers moved to dedicated dir

* improved filename sanitization

* Add option to set OpenVINO config

* Use utils.eval_logger for logging

* vllm lora support

* remove print

* version check, rename lora kwarg

* Add neuralmagic models for SparseML and DeepSparse

* Update to latest and add test

* Format

* Fix list to List

* Format

* Add deepsparse/sparseml to automated testing

* Update pyproject.toml

* Update pyproject.toml

* Update README

* Fixes for dtype and device

* Format

* Fix test

* Apply suggestions from code review
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Address review comments!

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Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* added delta weights

* removed debug

* readme update

* better error handling

* autogptq warn

* warn update

* peft and delta error, explicitly deleting _model_delta

* linter fix

* claude3

* supply for anthropic claude3

* supply for anthropic claude3

* anthropic config changes

* add callback options on anthropic

* line passed

* claude3 tiny change

* help anthropic installation

* mention sysprompt / being careful with format in readme

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Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>

The OpenAI interface supports batch size as an argument to the completions API, but does not seem to support specification of this on the CLI i.e. `lm_eval --model openai-completions --batch_size 16 ...` because of a simple lack of str->int conversion.

This is confirmed by my usage and stacktrace from running `OPENAI_API_KEY=dummy lm_eval --model local-completions --tasks gsm8k --batch_size 16 --model_args model=nm-
testing/zephyr-beta-7b-gptq-g128,tokenizer_backend=huggingface,base_url=http://localhost:8000/v1`:
```
Traceback (most recent call last):
  File "/home/michael/venv/bin/lm_eval", line 8, in <module>
    sys.exit(cli_evaluate())
  File "/home/michael/code/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
    results = evaluator.simple_evaluate(
  File "/home/michael/code/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
    return fn(*args, **kwargs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/evaluator.py", line 251, in simple_evaluate
    results = evaluate(
  File "/home/michael/code/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
    return fn(*args, **kwargs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/evaluator.py", line 390, in evaluate
    resps = getattr(lm, reqtype)(cloned_reqs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/models/openai_completions.py", line 263, in generate_until
    list(sameuntil_chunks(re_ord.get_reordered(), self.batch_size)),
  File "/home/michael/code/lm-evaluation-harness/lm_eval/models/openai_completions.py", line 251, in sameuntil_chunks
    if len(ret) >= size or x[1] != lastuntil:
TypeError: '>=' not supported between instances of 'int' and 'str'
```