GitLab

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'
```

* Integration of NeMo models into LM Evaluation Harness library

* rename nemo model as nemo_lm

* move nemo section in readme after hf section

* use self.eot_token_id in get_until()

* improve progress bar showing loglikelihood requests

* data replication or tensor/pipeline replication working fine within one node

* run pre-commit on modified files

* check whether dependencies are installed

* clarify usage of torchrun in README

* fix on --task list

* add fixes to tokeniation

* differentiate encoding for seq2seq and decoder

* return token setting

* format for pre-commit

* Seq2seq fix, pt2 (#1630)

* getting model class only when defined

* encode_pair handles None, add_special_tokens turned into dict with default value

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Co-authored-by: achervyakov <77295913+artemorloff@users.noreply.github.com>

* peft Version Assertion

* fix the linter issue

* make vllm use prefix_token_id ; have prefix_token_id be optional method to define

* custom_prefix_token_id wasn't set if not passed

This reverts commit b7923a84.

* use BOS token in loglikelihood

* improve comments

* add model arg

* log prefix token id

* log prefix token id

* Update lm_eval/api/model.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* change name to prefix_token_id

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

* Differentiate _encode_pair setting for decoder and enc-dec models

* tok_decode to not skip special token so that eos doen't become empty string

* Update model.py

* Update model.py

* Update huggingface.py

* Update lm_eval/models/huggingface.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Update model.py

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

* add manual tqdm disabling management

* add typing to all new args

* apply precommit changes

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

* Add compatibility for vLLM's new Logprob object

* Fix

* Update lm_eval/models/vllm_causallms.py

* fix format?

* trailing whitespace

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

Update installation commands in openai_completions.py and contributing document and, update wandb_args description (#1536)

* Update openai completions and docs/CONTRIBUTING.md

* Update wandb args description

* Update docs/interface.md

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

* use `@ray.remote` with distributed vLLM

* update versions

* bugfix

* unpin vllm

* fix pre-commit

* added version assertion error

* Revert "added version assertion error"

This reverts commit 8041e9b78e95eea9f4f4d0dc260115ba8698e9cc.

* added version assertion for DP

* expand DP note

* add warning

* nit

* pin vllm

* fix typos

* add undistribute + use more_itertools

* remove divide() util fn

* add more_itertools as dependency

* model_type attribute error

Getting attribute error when using a model without a 'model_type'

* fix w/ and w/out the 'model_type' specification

* use getattr(), also fix other config.model_type reference

* Update huggingface.py

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

* change `all_gather` to `gather`

* add TaskOutput utility class

* Add FilterResults class and refactor task handling.

* Rename `key` to `filter_key` for clarity

* Add `print_writeout` function in utils.py

* Add function to calculate limit size.

* Add doc_iterator method to Task class

* Refactor `doc_iterator` and cleanup in Task class

* remove superfluous bits

* change `all_gather` to `gather`

* bugfix

* bugfix

* fix `gather`

* Refactor `gather` loop

* Refactor aggregate metrics calculation

* Refactor and simplify aggregate metrics calculation
Removed unused code

* Simplify metrics calculation and remove unused code.

* simplify the metrics calculation in `utils.py` and `evaluator.py`.

* Fix group metric

* change evaluate to hf_evaluate

* change evaluate to hf_evaluate

* add docs

* add docs

* nits

* make isslice keyword only

* nit

* add todo

* nit

* nit

* nit: swap order samples_metrics tuple

* move instance sorting outside loop

* nit

* nit

* Add __repr__ for ConfigurableTask

* nit

* nit

* Revert "nit"

This reverts commit dab8d9977a643752a17f840fd8cf7e4b107df28f.

* fix some logging

* nit

* fix `predict_only` bug. thanks to `@LSinev`!

* change `print_tasks` to `prepare_print_tasks`

* nits

* move eval utils

* move eval utils

* nit

* add comment

* added tqdm descriptions

* Update lm_eval/evaluator_utils.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* fix mgsm bug

* nit

* fix `build_all_requests`

* pre-commit

* add ceil to limit

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

This reverts commit c1145dfd.