From efd3419bc2712291ca084b86eaa5b4aac76269b5 Mon Sep 17 00:00:00 2001 From: Linsong Chu Date: Wed, 27 Nov 2024 14:23:43 -0500 Subject: [PATCH] init --- README.md | 72 ++++++++++++++++++++++++++++++++++++++++++++++++++++- bamba.jpeg | Bin 0 -> 342746 bytes 2 files changed, 71 insertions(+), 1 deletion(-) create mode 100644 bamba.jpeg diff --git a/README.md b/README.md index 7914077..c067ba2 100644 --- a/README.md +++ b/README.md @@ -1 +1,71 @@ -# Bamba \ No newline at end of file +# Bamba + +

+ +

+ +

+ 🤗 Bamba on Hugging Face  | Bamba Blog  +
+ +Bamba is a repository for training and using [Bamba](https://huggingface.co/ibm-fms/Avengers-Mamba2-9B) models which are based on [Mamba](https://github.com/state-spaces/mamba) models. + + +## Installation + +Besides [PyTorch](https://pytorch.org/), you would need a few [extra dependencies](https://github.com/state-spaces/mamba?tab=readme-ov-file#installation) for +Mamba models. + +We found some of these dependencies picky on PyTorch versions when doing pip install, so +the best way is to build from source for all Mamba dependencies if you hit dependency +issue with your env: +```bash +git clone https://github.com/Dao-AILab/causal-conv1d.git +cd causal-conv1d && pip install . && cd .. +git clone https://github.com/state-spaces/mamba.git +cd mamba && pip install . && cd .. +git clone https://github.com/Dao-AILab/flash-attention.git +cd flash-attention && pip install . && cd .. +``` + + +## Models + +### Overview +TODO: add model card here + +### Checkpoints +We have published our model checkpoints here: TODO: add mamba HF page once public + + +## Inference +You can utilize our newly contributed HF integration to run inference on our Bamba models: +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model = AutoModelForCausalLM.from_pretrained("ibm-fms/Avengers-Mamba2-9B-hf") +tokenizer = AutoTokenizer.from_pretrained("ibm-fms/Avengers-Mamba2-9B-hf") + +message = ["TODO: find a prompt here"] +inputs = tokenizer(message, return_tensors='pt', return_token_type_ids=False) +response = model.generate(**inputs, max_new_tokens=100, do_sample=True, top_k=50, top_p=0.95) +print(tokenizer.batch_decode(response, skip_special_tokens=True)[0]) + +``` + + +## Training + +We trained our Bamba model with FSDP using our training repo [here](https://github.com/foundation-model-stack/fms-fsdp/tree/mamba-new). +Note that this training effort was started before FSDP2 and also long before we contributed +`Mamba2-Hybrid` to HF, so we were doing FSDP1 training with [official Mamba implementation](https://github.com/state-spaces/mamba). +For users trying to reproduce the training you now have much more options with our newly +contributed [HF-version of Mamba2-Hybrid]() (TODO: add link once live). + + +## Fine-tuning + +## Evaluation + + + diff --git a/bamba.jpeg b/bamba.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..8716f386572fae59b1bf0d44feb802111ea73b50 GIT binary patch literal 342746 zcmeFYXIN9s8a5g_Qbdp-ML-3q(t8cPiu57~C`FopROt~Akbp!$KmqB!3KDvisz?tY zU3#xl0tw-)`0l;G@6WlebDiJs(uB2U&6+jy%>CR?naS0!t3@iTs-M$y5J*P{!~+6> zNI}GSG#~=t3=jAR!eayx{XGYPOz@cgcW#Bp^`AQUAQ1k||5HE82}Jmx`aqk14~_p^ z|MQpRJqSbsln@FE3k${L{d10oPXNmLZ@G}5U>4s0X)z1`zbz7ivIzdqc^>h9>im7l zzhD1K;9m*+D}jF{@UH~^mB7Ce_*Vk|O5k4!{40TfCGf8V{*}Q0y9BOgKyN^Je-C^- zAPmRH$0r~p01iT8Lfk=2Lj3n2`OiW6_qc{T$p3fX;hrKOAOilAlM<8uul)b>$<-VX z*DGALgQ!UffinWUdmwyjJOXOGt1i48APGVAPY?e)44|KcM8qVd*T~3kfbj7M2=ECB zh=>S*!~v?TgOLMv5gX62Yh-k{=ouLA zb8vET^N5OxOGrvdE32rgscUFz85$Xzn3_E{x3#l>?%?R;?B(s_`^wKhApA{4WYpVe zSVH25q~w&3pHg#j^YRM{i;7FCzt$jX>*^aCzjbzX_w@FC|1mm-9G{r{H8s7sw7jyq zw!X2sb$ImW_~i5qb$$WlHvSn7@cqw-{;%;+1LMIbBqSgt!HowG{}u2dpe7``D@07A zs890D=`yzj8ie&eL5i^)QERG-w|}tOg8UgCjhR!% z2Bf;DsHbT7K8Tr9#|ALU&lEw23^i9rR)-nMPg|6+fvL(qMW^W_xRTI3?aN%?zVi9V zKYxvjO4dZ2yBBu(a1Fg27rWd3aa@-l&Yx(*$E>R__goa}w8e%sPc2;?ebX@@xOXu1Lswaqezo6y`+q z3dA;_I^w#oDaei;1>}*Pi`M@8Oq#0R^}i*>w3*Y4Z?8bfdkcn|svsG(y1uM`orOt*H+vZ8?XK-e)Slmcy)JGLtl9Mp3KVkDZ#gRCC8 zqqho=HjXy%RT_{@^E&5a1A}?emOr43;r;n!>dHp>&x8*eks2Kh@g5tFX#0zFrf8-u zCq_te>fOF=WnYd7PR7W>E0CNHt2?r7y|_52(M2`mRX>1drhQ6y5u z_)phDC2Xd*7~j(Wp_KFCQ`M!R)(;JZnN#0iEO9ow0+~BO5n=-8JI;l`G#URSYTMP( z#s)I#?&_#x10@!9aNS(HX^s;@+xnI@dh7j`d5TMM+kS~Ie|nWeiMZvkZzmKyC#~Jfwelc_ixo|elI&GeUxzqvBWEj*a+nC|;1Uhq~`?q%P z?nU8$Zefygznc?1SG~*!pzu5&JBIXtOOD|l5OCGw(7eno4uy-3UV)sPGyhDLSXWn; ziMdqE58ZoN# zjfKywZpc8(hw^bwSl|Xhz)kW??G|L)+4!ASWI%9%;<4B*K(I^N529 z2H`%KKQ$woVJZH@JU+Nh4*+QS`8c%BSuP*AbF|f#VsH=WF*9(LxO)L$)P3+1pd(}V zo5<=eQv5Cc6#n<2F~`Mi`WfH0}fxBlso*1~6z{@nijpZcsbi0h+u>zb##>NVx( ze=AFcuc%B;!w-Hed=^~T3iM0*dXfuNE_M~NtfvD~FlWw?niGNZ zy>Up2j^o$)gl9JJ)3{s!wW;u3W&m7bES6F>LjhSDy1RTT-k*wqiEdkOG77s*@jO@P z>9XjpYFuxeS^rEGtK}BOB_ddW*WS@5DB9vI+cgeZ06^tiYGrA9v|-F%`@sD)G9PGr z8oo;j;1?kSj3;--XpfHRG8;;Xw<^80`lbk6)5Es6>_b_A7~xV7Of4mma&UNF92#xAJ(iuUtxF| z7z@@y@(L8nx@|m|UF=)`{?f9o=M8$?B)^I3g9j2|;hlxEG3YxJ>@ZRtgK*ZWRPw!U zcr}dW<@ZCnlU$06#*YsCnVan&^B&M-4koZyP2thllCB~NNLx?}gMDhzE-9=HeQejP5?Erd4y;oDPA zBf@jea_rA?;-{pmC7WD=hr^5+j!ZZ|;vT{KX_`}}ukfT&)hs9eF7TD0K>IuII9vWi z$4J|k?P&8GO@JXLi{2)4b(mYLTl%FzfH5EzF+*Q!pa-fN;0>ThD)}}oVrj0A@37R2 zh9eB3SPinEWb=$Ba|O@0(j`jeAhvCb%%FQU0XSrEadvUxRx==V)=*aDPr&d^k+&%}0h~V;IjgjW6%WqhH7u&hHJ5 zm{e)?9<%=U<)F&daVW0YGD8AUJl)&jo7!4x*SWa}MKy0``Nn(+Ub)m+-5FS&M@vD4aJNqNPSfz zMgTk@vm6+&(oFROeN|cps|x@@3Z4;Q8yMal;LTjPnSRYXV#1Y$56I#*82~1RqzwRD zRlxWN;nPvOD&Fb}G{Cd_!}u_l;OW>nB6$Og4IK>)X6FG~&jjENn%OpmWF%T)WhRk! 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