Extract thinking/reasoning blocks (e.g. <think>...</think>) into a
separate reasoning_content field on the assistant message, matching
the convention used by DeepSeek, llama.cpp, and SGLang.
- Rewrite logprobs output format to match the OpenAI specification for
both chat completions and completions endpoints
- Fix top_logprobs count being ignored for llama.cpp and ExLlamav3
backends in chat completions (always returned 1 instead of requested N)
- Fix non-streaming responses only returning logprobs for the last token
instead of all generated tokens (affects all HF-based loaders)
- Fix logprobs returning null for non-streaming chat requests on HF loaders
- Fix off-by-one returning one extra top alternative on HF loaders
- Forward logit_bias and logprobs natively to llama.cpp
- Support n>1 completions with seed increment for diversity
- Fix logprobs returning empty dict when not requested
- Use config.eos_token_id_list for all EOS tokens as stop conditions
(fixes models like Llama-3 that define multiple EOS token IDs)
- Load vision/draft models before main model so autosplit accounts
for their VRAM usage
- Fix loss computation in ExLlamav3_HF: use cache across chunks so
sequences longer than 2048 tokens get correct perplexity values
- Stop llama-server subprocess on model unload instead of relying on GC
- Fix tool_calls[].index being string instead of int in API responses
- Omit tool_calls key from API response when empty per OpenAI spec
- Prevent division by zero when micro_batch_size > batch_size in training
- Copy sampler_priority list before mutating in ExLlamaV3
- Normalize presence/frequency_penalty names for ExLlamaV3 sampler sorting
- Restore original chat_template after training instead of leaving it mutated
The tool call response parser only handled JSON-based formats, causing
tool_calls to always be empty for models that use non-JSON formats.
Add parsers for three additional tool call formats:
- Qwen3.5: <tool_call><function=name><parameter=key>value</parameter>
- Mistral/Devstral: functionName{"arg": "value"}
- GPT-OSS: <|channel|>commentary to=functions.name<|message|>{...}
Also fix multi-turn tool conversations crashing with Jinja2
UndefinedError on tool_call_id by preserving tool_calls and
tool_call_id metadata through the chat history conversion.
If --user-data-dir is not set, auto-detect: use ../user_data when
./user_data doesn't exist, making it easy to share user data across
portable builds by placing it one folder up.
