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Setup for doc-builder and docs for TGI (#740) I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil @osanseviero --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: osanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 02:24:52 -06:00
- sections:
- local: index
title: Text Generation Inference
- local: quicktour
title: Quick Tour
MI300 compatibility (#1764) Adds support for AMD Instinct MI300 in TGI. Most changes are: * Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable. TunableOp is disabled by default, and can be enabled with `PYTORCH_TUNABLEOP_ENABLED=1`. * Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes from https://github.com/pytorch/pytorch/pull/124362) * Support SILU & Linear custom kernels contributed by AMD * Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/, branching out of a much more recent commit https://github.com/ROCm/vllm/commit/3489ce7936c5de588916ae3047c44c23c0b0c308 * Support FA2 Triton kernel as recommended by AMD. Can be used by specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`. * Update dockerfile to ROCm 6.1 By default, TunableOp tuning results are saved in `/data` (e.g. `/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order to avoid to have to rerun the tuning at each `docker run`. Example: ``` Validator,PT_VERSION,2.3.0 Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c Validator,HIPBLASLT_VERSION,0.7.0-1549b021 Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack- Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098 GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431 GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546 GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119 GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645 GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971 GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694 GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522 GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671 GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834 GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622 GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122 GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191 GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514 GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914 GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516 GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953 GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043 GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497 GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895 GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716 GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731 GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816 GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701 GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159 GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524 GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074 GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045 GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582 GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705 GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489 ``` --------- Co-authored-by: Mohit Sharma <mohit21sharma.ms@gmail.com>
2024-05-17 07:30:47 -06:00
- local: installation_nvidia
title: Using TGI with Nvidia GPUs
- local: installation_amd
title: Using TGI with AMD GPUs
- local: installation_gaudi
title: Using TGI with Intel Gaudi
- local: installation_inferentia
title: Using TGI with AWS Inferentia
add doc for intel gpus (#2181) Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-07-08 07:57:06 -06:00
- local: installation_intel
title: Using TGI with Intel GPUs
Setup for doc-builder and docs for TGI (#740) I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil @osanseviero --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: osanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 02:24:52 -06:00
- local: installation
MI300 compatibility (#1764) Adds support for AMD Instinct MI300 in TGI. Most changes are: * Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable. TunableOp is disabled by default, and can be enabled with `PYTORCH_TUNABLEOP_ENABLED=1`. * Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes from https://github.com/pytorch/pytorch/pull/124362) * Support SILU & Linear custom kernels contributed by AMD * Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/, branching out of a much more recent commit https://github.com/ROCm/vllm/commit/3489ce7936c5de588916ae3047c44c23c0b0c308 * Support FA2 Triton kernel as recommended by AMD. Can be used by specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`. * Update dockerfile to ROCm 6.1 By default, TunableOp tuning results are saved in `/data` (e.g. `/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order to avoid to have to rerun the tuning at each `docker run`. Example: ``` Validator,PT_VERSION,2.3.0 Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c Validator,HIPBLASLT_VERSION,0.7.0-1549b021 Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack- Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098 GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431 GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546 GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119 GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645 GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971 GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694 GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522 GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671 GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834 GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622 GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122 GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191 GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514 GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914 GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516 GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953 GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043 GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497 GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895 GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716 GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731 GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816 GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701 GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159 GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524 GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074 GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045 GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582 GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705 GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489 ``` --------- Co-authored-by: Mohit Sharma <mohit21sharma.ms@gmail.com>
2024-05-17 07:30:47 -06:00
title: Installation from source
Setup for doc-builder and docs for TGI (#740) I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil @osanseviero --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: osanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 02:24:52 -06:00
- local: supported_models
title: Supported Models and Hardware
Adding architecture document (#2044) * doc: adding architecture document * doc: add architecture to toctree * fix: avoid cargo lock changes * fix: avoid cargo lock tweak --------- Co-authored-by: drbh <david.richard.holtz@gmail.com>
2024-06-14 07:28:34 -06:00
- local: architecture
title: Internal Architecture
add usage stats to toctree (#2260) quick fix
2024-07-19 08:34:04 -06:00
- local: usage_statistics
title: Usage Statistics
Setup for doc-builder and docs for TGI (#740) I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil @osanseviero --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: osanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 02:24:52 -06:00
title: Getting started
- sections:
- local: basic_tutorials/consuming_tgi
title: Consuming TGI
- local: basic_tutorials/preparing_model
title: Preparing Model for Serving
- local: basic_tutorials/gated_model_access
title: Serving Private & Gated Models
Added CLI docs (#799) Added docs for CLI
2023-08-10 07:00:30 -06:00
- local: basic_tutorials/using_cli
title: Using TGI CLI
Unsupported model serving docs (#906) Co-authored-by: Omar Sanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-09-12 07:55:14 -06:00
- local: basic_tutorials/non_core_models
title: Non-core Model Serving
Pickle conversion now requires `--trust-remote-code`. (#1704) # What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution. Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change. Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. <!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @ @OlivierDehaene OR @Narsil -->
2024-04-05 05:32:53 -06:00
- local: basic_tutorials/safety
title: Safety
fix: split docs and start conceptual page (#1836) This PR improves the guidance docs and adds a section that explains how grammars are applied on a technical level
2024-05-01 01:03:25 -06:00
- local: basic_tutorials/using_guidance
title: Using Guidance, JSON, tools
feat: add vlm docs and simple examples (#1812) This PR start to add documentation for visual language models
2024-04-30 04:14:39 -06:00
- local: basic_tutorials/visual_language_models
title: Visual Language Models
Add TGI monitoring guide through Grafana and Prometheus (#1908) As per title. It is very useful.
2024-05-17 08:34:44 -06:00
- local: basic_tutorials/monitoring
title: Monitoring TGI with Prometheus and Grafana
feat: add train medusa head tutorial (#1934) This PR adds a tutorial to self distill and train medusa heads for a specific model --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-23 03:34:18 -06:00
- local: basic_tutorials/train_medusa
title: Train Medusa
Setup for doc-builder and docs for TGI (#740) I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil @osanseviero --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: osanseviero <osanseviero@gmail.com> Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 02:24:52 -06:00
title: Tutorials
doc: Add metrics documentation and add a 'Reference' section (#2230) * doc: Add metrics documentation and add a 'Reference' section * doc: Add API reference * doc: Refactor API reference * fix: Message API link * Bad rebase * Moving the docs. --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-08-16 11:43:30 -06:00
- sections:
- local: reference/launcher
title: All TGI CLI options
- local: reference/metrics
title: Exported Metrics
- local: reference/api_reference
title: API Reference
title: Reference
Add streaming guide (#858) Co-authored-by: Lucain <lucainp@gmail.com> Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
2023-08-18 05:27:08 -06:00
- sections:
- local: conceptual/streaming
title: Streaming
Quantization docs (#911) Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2023-09-12 07:52:46 -06:00
- local: conceptual/quantization
title: Quantization
Tensor Parallelism conceptual guide (#886) Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Omar Sanseviero <osanseviero@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2023-09-12 04:11:20 -06:00
- local: conceptual/tensor_parallelism
title: Tensor Parallelism
Paged Attention Conceptual Guide (#901)
2023-09-08 06:18:42 -06:00
- local: conceptual/paged_attention
title: PagedAttention
Safetensors conceptual guide (#905) IDK what else to add in this guide, I looked for relevant code in TGI codebase and saw that it's used in quantization as well (maybe I could add that?)
2023-09-07 08:22:06 -06:00
- local: conceptual/safetensors
title: Safetensors
docs: Flash Attention Conceptual Guide (#892) PR for conceptual guide on flash attention. I will add more info unless I'm told otherwise. --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
2023-09-06 07:36:49 -06:00
- local: conceptual/flash_attention
title: Flash Attention
Fixing x-compute-time. (#1606) # What does this PR do? It was meant to be in seconds float <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution. Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change. Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. <!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @ @OlivierDehaene OR @Narsil -->
2024-02-28 03:30:37 -07:00
- local: conceptual/speculation
title: Speculation (Medusa, ngram)
- local: conceptual/guidance
doc: Add metrics documentation and add a 'Reference' section (#2230) * doc: Add metrics documentation and add a 'Reference' section * doc: Add API reference * doc: Refactor API reference * fix: Message API link * Bad rebase * Moving the docs. --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-08-16 11:43:30 -06:00
title: How Guidance Works (via outlines)
Enable multiple LoRa adapters (#2010) * feat: first draft load multiple lora * feat: load weights within layer and refactor lora pass * fix: refactor and reduce lora math * feat: baseline impl single request multi lora support * feat: prefer lorax implementation and port loading logic * fix: prefer adapter_data and refactors * feat: perfer loraxs custom punica kernels and add mlp loras * fix: adjust batch for bgmv * fix: adjust adapter_segments logic when in batch * fix: refactor and move changes to v3 proto * fix: pass model_id for all flash causal lms * fix: pass model_id for all causal and seq2seq lms * fix: add model_id to model test * feat: add lora support to mistral and refactors * feat: prefer model id in request * fix: include rust code for adapter id * feat: bump launcher and add new lora docs * feat: support base model generation and refactors * fix: rename doc to retry ci build * feat: support if vlm models * fix: add adapter_data param and avoid missing layers * fix: add adapter_data param to phi and neox * fix: update all models forwards to include adapter_data * fix: add model_id to IdeficsCausalLM * Update lora.md Fixed a typo * Update lora.md Fixing spam image * fix: add lora kernel to dockerfile, support running without kernels and refactors * fix: avoid dockerfile conflict * fix: refactors and adjust flash llama lora logic * fix: skip llama test due to CI issue (temp) * fix: skip llama test CI (temp) 2 * fix: revert skips and prefer updated ci token for tests * fix: refactors and helpful comments * fix: add noop in TensorParallelAdapterRowLinear too * fix: refactor and move shard_lora_weights logic * fix: exit early if no adapter_data --------- Co-authored-by: Derek <datavistics@gmail.com>
2024-06-25 12:46:27 -06:00
- local: conceptual/lora
title: LoRA (Low-Rank Adaptation)
Add links to Adyen blogpost (#2500) * Add links to Adyen blogpost * Adding to toctree. * Update external.md * Update _toctree.yml --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-09-06 09:00:54 -06:00
- local: conceptual/external
title: External Resources
Enable multiple LoRa adapters (#2010) * feat: first draft load multiple lora * feat: load weights within layer and refactor lora pass * fix: refactor and reduce lora math * feat: baseline impl single request multi lora support * feat: prefer lorax implementation and port loading logic * fix: prefer adapter_data and refactors * feat: perfer loraxs custom punica kernels and add mlp loras * fix: adjust batch for bgmv * fix: adjust adapter_segments logic when in batch * fix: refactor and move changes to v3 proto * fix: pass model_id for all flash causal lms * fix: pass model_id for all causal and seq2seq lms * fix: add model_id to model test * feat: add lora support to mistral and refactors * feat: prefer model id in request * fix: include rust code for adapter id * feat: bump launcher and add new lora docs * feat: support base model generation and refactors * fix: rename doc to retry ci build * feat: support if vlm models * fix: add adapter_data param and avoid missing layers * fix: add adapter_data param to phi and neox * fix: update all models forwards to include adapter_data * fix: add model_id to IdeficsCausalLM * Update lora.md Fixed a typo * Update lora.md Fixing spam image * fix: add lora kernel to dockerfile, support running without kernels and refactors * fix: avoid dockerfile conflict * fix: refactors and adjust flash llama lora logic * fix: skip llama test due to CI issue (temp) * fix: skip llama test CI (temp) 2 * fix: revert skips and prefer updated ci token for tests * fix: refactors and helpful comments * fix: add noop in TensorParallelAdapterRowLinear too * fix: refactor and move shard_lora_weights logic * fix: exit early if no adapter_data --------- Co-authored-by: Derek <datavistics@gmail.com>
2024-06-25 12:46:27 -06:00
feat: add vlm docs and simple examples (#1812) This PR start to add documentation for visual language models
2024-04-30 04:14:39 -06:00
Add streaming guide (#858) Co-authored-by: Lucain <lucainp@gmail.com> Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
2023-08-18 05:27:08 -06:00
title: Conceptual Guides