2016f07bd1
convert : experimental support for --mmproj
flag ( #13023 )
...
* convert : experimental support for `--mmproj` flag
* fix bad ctrl+f replace
* fix style
* split into subclasses TextModel and VisionModel
* rename Mode --> ModelBase
* small fix
* correct CLIP_VISION arch name (because existing GGUF already use it)
* Apply suggestions from code review
Co-authored-by: compilade <git@compilade.net >
* fix Mistral3Model
* fix typo
Co-authored-by: compilade <git@compilade.net >
---------
Co-authored-by: compilade <git@compilade.net >
2025-04-20 23:29:36 +02:00
daa422881a
llama : DeepSeek V2/V3 MLA implementation ( #12801 )
...
* Merged using squash to remove all noise commit messages
* Force flash attention off for `LLM_ARCH_DEEPSEEK2` - embedding too large
* Removed 3 conts (2x RoPE and 1x RMS-norm)
* Changed to use `<cmath>` instead of `<math.h>`
* Reverted removal of the 3 conts
* Used `reshape` in `llm_graph_context::build_attn_mha()`
* Use `k_pe = ggml_reshape`
* Removed the 3 conts again
* Removed the 3D views of `wk_b` and `wv_b`, and just save and 3D in GGUF
* Removed MQA optimisation from `build_attn_mha()` as no gains now
* Simplified `is_mla` branch in `llm_build_deepseek2()`
* Removed `build_attn_mla` and added `nullptr` to all `build_atnn` calls
* Fixed call to `build_attn` in `llm_build_t5_enc`
2025-04-15 09:49:57 +03:00
06bb53ad9b
llama-model : add Glm4Model implementation for GLM-4-0414 ( #12867 )
...
* GLM-4-0414
* use original one
* Using with tensor map
* fix bug
* change order
* change order
* format with flask8
2025-04-11 12:10:10 +02:00
ec6c09d0fa
convert : Llama4 RoPE fix ( #12889 )
2025-04-11 09:49:09 +02:00
5b1f13cb64
convert : proper tensor name mapping for llama4 ( #12870 )
...
* Llama-4 mapping
* remove hacky renaming
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com >
2025-04-11 09:23:37 +02:00
64eda5deb9
convert : ability to lazy-load safetensors remotely without downloading to disk ( #12820 )
...
* gguf util : add SafetensorRemote
* fix style
* convert: add --remote option
* convert : allow using lazy remote tensors
It's a bit slow for now since everything is blocking and single-threaded.
* correct metadata.name
* small style fix
* support HF_TOKEN
* convert : use writeable buffer for remote lazy tensors
* convert : fix flake8 lint regarding lamdba assigment
* multithreaded download
* multithread: print debug
* fix style
* Revert "multithreaded download"
This reverts commit 42fc895ace
.
* bring back _get_request_headers
---------
Co-authored-by: Francis Couture-Harpin <git@compilade.net >
2025-04-10 17:24:44 +02:00
d3bd7193ba
llama : Support Qwen3 and Qwen3MoE ( #12828 )
...
* add qwen3 & qwen3moe support.
* fix
---------
Co-authored-by: bozheng-hit <dsoul0621@gmail.com >
2025-04-09 11:47:36 +02:00
1466621e73
llama : Support llama 4 text-only ( #12791 )
...
* llama4 conversion
* initial support, no chat template
* clean up a bit
* fix tokenizer conversion
* correct hparams
* try this
* fix shexp
* ffn_inp_normed
* chat template
* clean up model conversion
* add_bos
* add scale_before_ffn
* fix order
* weight_before_ffn
* llm_graph_input_attn_temp
* add chunk attn mask
* build_inp_attn_scale()
* add comment about ggml_repeat
* clarify comments
* fix build
2025-04-07 23:06:44 +02:00
5936a616e4
convert : BailingMoE : fix qkv split when head_dim is 0 ( #12687 )
...
NOTE: Ling-lite-base is broken, see https://huggingface.co/inclusionAI/Ling-lite-base/discussions/2
2025-04-01 14:37:13 +02:00
35782aeedb
convert : BailingMoE : avoid setting rope_dim to 0 ( #12678 )
2025-03-31 23:09:48 +02:00
403fbacbbc
convert : Qwerky : use lora_rank_tokenshift and lora_rank_decay if present ( #12667 )
2025-03-31 16:36:25 +02:00
2c3f8b850a
llama : support BailingMoE (Ling) ( #12634 )
2025-03-30 22:21:03 +02:00
b3de7cac73
llama : add Trillion 7B model support ( #12556 )
...
* Support Trillion 7B
* Update llama.h
* Update llama.h
* Update llama-vocab.cpp for Trillion
* Update llama-vocab.cpp
2025-03-30 20:38:33 +02:00
f125b8dccf
llama : add PLM GGUF Conversion & Inference Support ( #12457 )
...
* add edgellm model arch[conversation feature doesn't work]
* remove output.weight layer for edgellm arch
* [Model] update the name of the model
* update the name of model arch in convert gguf
* [Model] Refarctor the model arch into llama-model
* [Bug] Fix the bug in create attn kv
* [Code] Fix editorconfig erros
* [Code] Remove Trailing whitespace
* [Code] Remove Trailing whitespace
* [Code] Change the order of model arch in list
* [Code] Fix flake8 Lint errors
* Remove trailing white space
* [Code] Remove call in model arch
2025-03-27 12:49:15 +02:00
d5c6309d91
convert : Support Qwen2_5_VLForConditionalGeneration ( #12595 )
2025-03-27 11:11:23 +01:00
df4d20cd53
convert : fix squeeze for ssm_conv tensors ( #12573 )
...
* convert : fix squeeze for ssm_conv tensors
* convert : match ssm_conv tensors by type
---------
Co-authored-by: Francis Couture-Harpin <git@compilade.net >
2025-03-26 08:21:05 -04:00
53af4dba42
convert: fix Mistral3/Gemma3 model hparams init ( #12571 )
...
* Fix Mistral3/Gemma3 model hparams init
* set positional args correctly
* use existing hparams if passed
2025-03-25 23:03:10 +01:00
00d53800e0
llama-vocab : add SuperBPE pre-tokenizer ( #12532 )
2025-03-24 11:47:24 +01:00
732b5fbf5e
convert : avoid calls to tokenizer.added_tokens_decoder ( #12473 )
...
tokenizer.added_tokens_decoder returns a fresh dict every time relatively slowly (~0.04s on average) which results in massive slowdowns when we have a huge number of added tokens
2025-03-20 08:36:37 +02:00
108e53c2f1
llama : add support for GPT2, Bloom and CodeShell tied word embeddings ( #12456 )
...
* Add support for GPT2, Bloom and CodeShell tied word embeddings
* Deduplicate tied word embeddings weights
* Workaround for incorrect weight map
It appears transformer.wte.weight is in the weight map even though the weights are not there, remove it if output weights are encountered first.
* check++
* fatfingers--
2025-03-19 09:08:49 +01:00
29fff308c7
llama : support converting Mistral Small text-only ( #12450 )
2025-03-18 19:16:19 +01:00
7dfad387e3
llama: Add support for RWKV v7 architecture ( #12412 )
...
* ggml: Add op l2_norm
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* ggml: Add op rwkv_wkv7
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: Add support for RWKV7 and ARWKV7 models
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: fix inference with RWKV6Qwen2
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: add more (a)rwkv7 variants in size
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Apply code-format changes
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* fix MUSA build
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: fix shape error with rwkv using llama-parallel
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
2025-03-18 07:27:50 +08:00
7841fc723e
llama : Add Gemma 3 support (+ experimental vision capability) ( #12343 )
...
* llama : Add Gemma 3 text-only support
* fix python coding style
* fix compile on ubuntu
* python: fix style
* fix ubuntu compile
* fix build on ubuntu (again)
* fix ubuntu build, finally
* clip : Experimental support for Gemma 3 vision (#12344 )
* clip : Experimental support for Gemma 3 vision
* fix build
* PRId64
2025-03-12 09:30:24 +01:00
c43a3e7996
llama : add Phi-4-mini support (supersede #12099 ) ( #12108 )
...
* Added Phi-4-mini-instruct support
* Update regex per ngxson
* Change the vocab base to Xenova/gpt-4o
* fix conversion update script
* no need to check longrope
* minor style fix
* fix python style
---------
Co-authored-by: Nicholas Sparks <nisparks@microsoft.com >
2025-02-28 12:44:11 +01:00
68ff663a04
repo : update links to new url ( #11886 )
...
* repo : update links to new url
ggml-ci
* cont : more urls
ggml-ci
2025-02-15 16:40:57 +02:00
0cec062a63
llama : add support for GLM-Edge and GLM-Edge-V series models ( #10573 )
...
* add glm edge chat model
* use config partial_rotary_factor as rope ratio
* support for glm edge model
* vision model support
* remove debug info
* fix format
* llava.cpp trailing whitespace
* remove unused AutoTokenizer
* Update src/llama.cpp for not contain <|end|> or </s>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com >
* add edge template
* fix chat template
* fix confict
* fix confict
* fix ci err
* fix format err
* fix template err
* 9b hf chat support
* format
* format clip.cpp
* fix format
* Apply suggestions from code review
* Apply suggestions from code review
* Update examples/llava/clip.cpp
* fix format
* minor : style
---------
Co-authored-by: liyuhang <yuhang.li@zhipuai.cn >
Co-authored-by: piDack <pcdack@hotmail.co >
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com >
Co-authored-by: liyuhang <yuhang.li@aminer.cn >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2025-02-02 09:48:46 +02:00
ec7f3ac9ab
llama : add support for Deepseek-R1-Qwen distill model ( #11310 )
...
* llama : add support for Deepseek-R1-Qwen distill model
* coding style
2025-01-20 14:35:07 +01:00
4dbc8b9cb7
llama : add internlm3 support ( #11233 )
...
* support internlm3
* fix lint
2025-01-16 20:10:38 +02:00
2739a71e4b
convert : sort print supported models [no ci] ( #11179 )
...
This commit sorts the list of supported models when printing them out.
The motivation for this change is to make it easier to find a specific
model in the list of supported models. For example:
```console
$ ./convert_hf_to_gguf.py --print-supported-models
Supported models:
- ArcticForCausalLM
- BaiChuanForCausalLM
- BaichuanForCausalLM
- BertForMaskedLM
- BertModel
- BitnetForCausalLM
- BloomForCausalLM
- BloomModel
- CamembertModel
- ChameleonForCausalLM
- ChameleonForConditionalGeneration
- ChatGLMForConditionalGeneration
- ChatGLMModel
- CodeShellForCausalLM
- Cohere2ForCausalLM
- CohereForCausalLM
- DbrxForCausalLM
- DeciLMForCausalLM
- DeepseekForCausalLM
- DeepseekV2ForCausalLM
- DeepseekV3ForCausalLM
- ExaoneForCausalLM
- FalconForCausalLM
- FalconMambaForCausalLM
- GPT2LMHeadModel
- GPTBigCodeForCausalLM
- GPTNeoXForCausalLM
- GPTRefactForCausalLM
- Gemma2ForCausalLM
- GemmaForCausalLM
- GraniteForCausalLM
- GraniteMoeForCausalLM
- GrokForCausalLM
- InternLM2ForCausalLM
- JAISLMHeadModel
- JinaBertForMaskedLM
- JinaBertModel
- LLaMAForCausalLM
- LlamaForCausalLM
- LlavaStableLMEpochForCausalLM
- MPTForCausalLM
- MT5ForConditionalGeneration
- MambaForCausalLM
- MambaLMHeadModel
- MiniCPM3ForCausalLM
- MiniCPMForCausalLM
- MistralForCausalLM
- MixtralForCausalLM
- NemotronForCausalLM
- NomicBertModel
- OLMoForCausalLM
- Olmo2ForCausalLM
- OlmoForCausalLM
- OlmoeForCausalLM
- OpenELMForCausalLM
- OrionForCausalLM
- Phi3ForCausalLM
- PhiForCausalLM
- PhiMoEForCausalLM
- PlamoForCausalLM
- QWenLMHeadModel
- Qwen2ForCausalLM
- Qwen2MoeForCausalLM
- Qwen2VLForConditionalGeneration
- RWForCausalLM
- RWKV6Qwen2ForCausalLM
- RobertaModel
- Rwkv6ForCausalLM
- StableLMEpochForCausalLM
- StableLmForCausalLM
- Starcoder2ForCausalLM
- T5EncoderModel
- T5ForConditionalGeneration
- T5WithLMHeadModel
- UMT5ForConditionalGeneration
- WavTokenizerDec
- XLMRobertaForSequenceClassification
- XLMRobertaModel
- XverseForCausalLM
```
2025-01-11 05:50:33 +01:00
ff3fcabc72
convert : add --print-supported-models option ( #11172 )
...
* convert : add --print-supported-models option
This commit adds a new option to the convert_hf_to_gguf.py script to
print the supported models.
The motivation for this is that it can be useful to know which models
are supported by the script without having to look at the code.
Example usage:
```console
$ ./convert_hf_to_gguf.py --print-supported-models
Supported models:
- GPTNeoXForCausalLM
- BloomForCausalLM
- BloomModel
- MPTForCausalLM
- OrionForCausalLM
- BaichuanForCausalLM
- BaiChuanForCausalLM
- XverseForCausalLM
- FalconForCausalLM
- RWForCausalLM
- GPTBigCodeForCausalLM
- GPTRefactForCausalLM
- StableLmForCausalLM
- StableLMEpochForCausalLM
- LlavaStableLMEpochForCausalLM
- LLaMAForCausalLM
- LlamaForCausalLM
- MistralForCausalLM
- MixtralForCausalLM
- DeciLMForCausalLM
- BitnetForCausalLM
- GrokForCausalLM
- DbrxForCausalLM
- MiniCPMForCausalLM
- MiniCPM3ForCausalLM
- QWenLMHeadModel
- Qwen2ForCausalLM
- Qwen2VLForConditionalGeneration
- WavTokenizerDec
- Qwen2MoeForCausalLM
- GPT2LMHeadModel
- PhiForCausalLM
- Phi3ForCausalLM
- PhiMoEForCausalLM
- PlamoForCausalLM
- CodeShellForCausalLM
- InternLM2ForCausalLM
- BertModel
- BertForMaskedLM
- CamembertModel
- RobertaModel
- NomicBertModel
- XLMRobertaModel
- XLMRobertaForSequenceClassification
- GemmaForCausalLM
- Gemma2ForCausalLM
- Starcoder2ForCausalLM
- Rwkv6ForCausalLM
- RWKV6Qwen2ForCausalLM
- MambaForCausalLM
- MambaLMHeadModel
- FalconMambaForCausalLM
- CohereForCausalLM
- Cohere2ForCausalLM
- OLMoForCausalLM
- OlmoForCausalLM
- Olmo2ForCausalLM
- OlmoeForCausalLM
- JinaBertModel
- JinaBertForMaskedLM
- OpenELMForCausalLM
- ArcticForCausalLM
- DeepseekForCausalLM
- DeepseekV3ForCausalLM
- DeepseekV2ForCausalLM
- UMT5ForConditionalGeneration
- MT5ForConditionalGeneration
- T5ForConditionalGeneration
- T5WithLMHeadModel
- T5EncoderModel
- JAISLMHeadModel
- ChatGLMModel
- ChatGLMForConditionalGeneration
- NemotronForCausalLM
- ExaoneForCausalLM
- GraniteForCausalLM
- GraniteMoeForCausalLM
- ChameleonForCausalLM
- ChameleonForConditionalGeneration
```
* squash! convert : add --print-supported-models option
Fix flake8 error.
2025-01-10 11:30:53 +01:00
ee7136c6d1
llama: add support for QRWKV6 model architecture ( #11001 )
...
llama: add support for QRWKV6 model architecture (#11001 )
* WIP: Add support for RWKV6Qwen2
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* RWKV: Some graph simplification
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Add support for RWKV6Qwen2 with cpu and cuda GLA
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* RWKV6[QWEN2]: Concat lerp weights together to reduce cpu overhead
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix some typos
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* code format changes
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix wkv test & add gla test
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix cuda warning
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Update README.md
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Update ggml/src/ggml-cuda/gla.cu
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Fix fused lerp weights loading with RWKV6
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* better sanity check skipping for QRWKV6 in llama-quant
thanks @compilade
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
Co-authored-by: compilade <git@compilade.net >
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: compilade <git@compilade.net >
2025-01-10 09:58:08 +08:00
f8feb4b01a
model: Add support for PhiMoE arch ( #11003 )
...
* model: support phimoe
* python linter
* doc: minor
Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com >
* doc: minor
Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com >
* doc: add phimoe as supported model
ggml-ci
---------
Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com >
2025-01-09 11:21:41 +01:00
9394bbd484
llama : Add support for DeepSeek V3 ( #11049 )
...
* convert : extend DEEPSEEK2 model architecture to support DeepseekV3ForCausalLM by adding EXPERT_WEIGHTS_NORM and EXPERT_GATING_FUNC model parameters and FFN_EXP_PROBS_B tensor type
* vocab : add DeepSeek V3 pre-tokenizer regexes
* unicode : handle ACCENT_MARK and SYMBOL categories in regex
* llama : add DeepSeek V3 chat template, handle new model parameters and tensor types
---------
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com >
2025-01-04 21:06:11 +01:00
46be942214
llama : add support for the cohere2 model architecture ( #10900 )
2025-01-04 16:33:31 +02:00
bc7b1f8632
convert : fix Llama-3_1-Nemotron-51B rope settings ( #11008 )
...
* conflict resolution
* move comments after bracket to its own line
* DeciLMCausalModel now reads rope_theta from config.json properly
2024-12-31 13:04:48 +02:00
b92a14a841
llama : support InfiniAI Megrez 3b ( #10893 )
...
* Support InfiniAI Megrez 3b
* Fix tokenizer_clean_spaces for megrez
2024-12-23 01:35:44 +01:00
6f0c9e034b
llama : support for Llama-3_1-Nemotron-51B ( #10669 )
...
* conflict resolution
* move comments after bracket to its own line
2024-12-23 01:22:33 +01:00
7ae33a616f
llama : add Falcon3 support ( #10883 )
...
* Add Falcon3 model support
* Add fix for adding bos to added special tokens
* Add comment explaining the logic behind the if statement
* Add a log message to better track the when the following line of code is triggered
* Update log to only print when input and output characters are different
* Fix handling pre-normalized tokens
* Refactoring
2024-12-23 00:09:58 +02:00
5cd85b5e00
convert : add BertForMaskedLM ( #10919 )
2024-12-21 10:10:18 +02:00
0a11f8b7b5
convert : fix RWKV v6 model conversion ( #10913 )
...
* Enable --no-context-shift for llama-perplexity example
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* RWKV 6: Fix error in ggml_cuda_op_bin_bcast
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
2024-12-20 11:44:58 +02:00
2fffc52b50
llama : fix Roberta embeddings ( #10856 )
...
* fix: Use gpt2 tokenizer for roberta and add eos/bos tokens
Branch: RobertaTokenizer
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com >
* fixes to position embeddings
Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com >
* map roberta-bpe to gpt-2
Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com >
* fix linting
Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com >
---------
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com >
Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com >
Co-authored-by: Gabe Goodhart <ghart@us.ibm.com >
2024-12-19 15:04:51 +02:00
7585edbdeb
convert : Add support for Microsoft Phi-4 model ( #10817 )
...
* convert : use GPT2 vocab for Phi-4 model
* convert : use null value of sliding_window to distinguish Phi-4 from other PHI3-based models
* llama : do not use sliding window attention mask for Phi-4 model
---------
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com >
2024-12-19 10:37:12 +01:00
0bf2d10c55
tts : add OuteTTS support ( #10784 )
...
* server : add "tokens" output
ggml-ci
* server : output embeddings for all tokens when pooling = none
ggml-ci
* server : be explicit about the pooling type in the tests
ggml-ci
* server : do not normalize embeddings when there is no pooling
ggml-ci
* llama : add OuteTTS support (wip)
* wip
* extract features
* first conv
* group norm
* resnet conv
* resnet
* attn
* pos net
* layer norm
* convnext
* head
* hann window
* fix n_embd + remove llama.cpp hacks
* compute hann window
* fft
* spectrum processing
* clean-up
* tts : receive input text and generate codes
* clip : fix new conv name
* tts : minor fix
* tts : add header + minor fixes
ggml-ci
* tts : add matchematical constant
ggml-ci
* tts : fix sampling + cut initial noise
* tts : fixes
* tts : update default samplers
ggml-ci
* tts : text pre-processing
* tts : outetts-voc -> wavtokenizer-dec
* tts : remove hardcoded constants
ggml-ci
* tts : fix tensor shapes
* llama : refactor wavtokenizer tensors
ggml-ci
* cont
ggml-ci
* cont [no ci]
* llama : update WavTokenizer to non-causal attn
* llama : handle no-vocab detokenization
* tts : add Python example for OuteTTS (wip)
* tts : extend python example to generate spectrogram
ggml-ci
* server : fix rebase artifacts
* tts : enable "return_tokens" in Python example
ggml-ci
* tts : minor fixes
* common : support HF download for vocoder
2024-12-18 19:27:21 +02:00
4da69d1abd
Revert "llama : add Falcon3 support ( #10864 )" ( #10876 )
...
This reverts commit 382bc7f2e8
.
2024-12-18 01:36:46 +01:00
382bc7f2e8
llama : add Falcon3 support ( #10864 )
2024-12-17 17:24:56 +02:00
a0974156f3
llama : add Deepseek MoE v1 & GigaChat models ( #10827 )
...
* Add deepseek v1 arch & gigachat template
* improve template code
* add readme
* delete comments
* remove comment
* fix format
* lint llama.cpp
* fix order of deepseek and deepseek2, move gigachat temlate to the end of func
* fix order of deepseek and deepseek2 in constants; mark shared exp as deepseek arch need
* remove comments
* move deepseek above deepseek2
* change placement of gigachat chat template
2024-12-15 19:02:46 +02:00
ba1cb19cdd
llama : add Qwen2VL support + multimodal RoPE ( #10361 )
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* Barebone Qwen2VL LLM convertor
* Add Qwen2VL cli entrypoint
* [WIP] add qwen2vl arch
* Verify m-rope output
* Add vl-rope/2d-rope support for qwen2vl ViT
* update qwen2vl cli tool
* update 5D tensor op workaround
* [WIP] qwen2vl vision model
* make batch and clip utils compatible with qwen2vl
* [WIP] create inference workflow, gguf convert script but fix
* correcting vision-rope behavior, add the missing last layer back to ViT
* add arg parser to qwen2vl_surgery
* replace variable size array with vector
* cuda-gdb cmake preset
* add fp32 mrope, vision rope kernel
* add fp16 support for qwen2vl and m-rope
* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`
* fix rope op mode switching, out dated func args
* update `llama_hparams`
* update to keep up stream changes
* resolve linter, test errors
* add makefile entry, update speical image padding token
* add mrope unit test, fix few compiler warnings
* rename `mrope` related function, params
* minor updates on debug util, bug fixs
* add `m-rope` testcase to `test-backend-ops`
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* fix traililng whitespce
* store `llama_hparams.rope_sections` with fixed size array
* update position id tensor size check in GGML_OP_ROPE
* minor updates
* update `ggml_backend_*_supports_op` of unsupported backends
* remote old `rope_section` compare operator
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-12-14 14:43:46 +02:00
62e84d9848
llama : add 128k yarn context for Qwen ( #10698 )
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* add 128k yarn context for Qwen
* added property for model tensors
* removing useless line
2024-12-07 23:12:27 +02:00
784a14aa49
convert : add support for Roberta embeddings ( #10695 )
2024-12-07 09:02:14 +02:00
6fe6247831
llama : add Minerva 7B model support ( #10673 )
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* Support for Minerva 7B
* Update convert_hf_to_gguf_update.py
2024-12-05 20:30:59 +02:00