From 4a924d5afb808f74c49ec030c63a7ac2d02b28e1 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 22 May 2026 09:12:12 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: FlagRelease/Qwen2-7B-FlagOS-Arm Source: Original Platform --- .DS_Store | Bin 0 -> 6148 bytes .gitattributes | 51 +++++ .msc | Bin 0 -> 1078 bytes .mv | 1 + LICENSE | 202 ++++++++++++++++++ README.md | 95 +++++++++ config.json | 27 +++ configuration.json | 1 + generation_config.json | 14 ++ image/group.png | Bin 0 -> 62124 bytes merges.txt | 3 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 346 +++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 40 ++++ vocab.json | 3 + 19 files changed, 798 insertions(+) create mode 100644 .DS_Store create mode 100644 .gitattributes create mode 100644 .msc create mode 100644 .mv create mode 100644 LICENSE create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 image/group.png create mode 100644 merges.txt create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 vocab.json diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..7b1552989fd7527ea044ee782b25f9b897284b78 GIT binary patch literal 6148 zcmeHKTS~(~6g^`LN<|St@k22iP^`LuSnY=({&WFqTP@YvK$A-GEC24nEr^S8F@EW} zGovO`1Eqq9%q@4$WODDB^kg0x0ID`@SAit}b9BLSg~c}}_r=F-#nbE@*cI>apdPMEMTK35oQ;jP|CiK2u4+n_z{4<@2_;;t~f0>AXZ(9D+ z;Y9rVQ}aJN{OcM03lygEUFt3GXjC)`%bO1GBHvPk8~vubxF-&Za`mWt%*=w7Z*nIZ zzmU0*WvbwgPtoGIX%_Y_qd1$x%O4o`Y_Yj{gTC|%cm=!yp9;wO5YPofi>X1qbgiRk;4Q2V xviBurO-9q-<3-9nR1NE;u3nZyUoCaJ$WDqSJpCO%JZ)Rc6)O1`D*g*9_@8Q;Plf;h literal 0 HcmV?d00001 diff --git a/.mv b/.mv new file mode 100644 index 0000000..9f739fc --- /dev/null +++ b/.mv @@ -0,0 +1 @@ +Revision:master,CreatedAt:1740572143 \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..cc375d9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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As the first-generation release for the Amazon Graviton4 CPUs, this package delivers two key features: + +1. Comprehensive Integration: + - Integrated with FlagScale (https://github.com/FlagOpen/FlagScale). + - Open-source inference execution code, preconfigured with all necessary software and hardware settings. + - Pre-built Docker image for rapid deployment on Amazon . +3. Consistency Validation: + - Evaluation tests verifying consistency of results between the official and ours. + +# Technical Summary + +## Serving Engine + +We use FlagScale as the serving engine to improve the portability of distributed inference. + +FlagScale is an end-to-end framework for large models across multiple chips, maximizing computational resource efficiency while ensuring model effectiveness. It ensures both ease of use and high performance for users when deploying models across different chip architectures: + +- One-Click Service Deployment: FlagScale provides a unified and simple command execution mechanism, allowing users to fast deploy services seamlessly across various hardware platforms using the same command. This significantly reduces the entry barrier and enhances user experience. +- Automated Deployment Optimization: FlagScale automatically optimizes distributed parallel strategies based on the computational capabilities of different AI chips, ensuring optimal resource allocation and efficient utilization, thereby improving overall deployment performance. +- Automatic Operator Library Switching: Leveraging FlagScale's unified Runner mechanism and deep integration with FlagGems, users can seamlessly switch to the FlagGems operator library for inference by simply adding environment variables in the configuration file. + +## Triton Support + +We validate the execution of arm-Qwen2-7B model with a Triton-based operator library as a PyTorch alternative. + +We use a variety of Triton-implemented operation kernels to run the arm-Qwen2-7B model. These kernels come from two main sources: + +- Most Triton kernels are provided by FlagGems (https://github.com/FlagOpen/FlagGems). You can enable FlagGems kernels by setting the environment variable USE_FLAGGEMS. + +- Also included are Triton kernels from vLLM, such as fused MoE. + +# Evaluation Results + +## Benchmark Result + +| Metrics | Qwen2-7B-H100-CUDA | Qwen2-7B-FlagOS-Arm | +|:-------------------|--------------------------|-----------------------------| +| mmlu |0.700 | 0.687 | + +Qwen2-7B is a pre-o1 model without "thinking" or "reasoning" abilities. We use MMLU instead of AIME or GPQA-diamond to evaluate Qwen2-7B + +# How to Run Locally +## 📌 Getting Started +### Download the FlagOS image + +```bash +docker pull flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:flagrelease-arm +``` + +### Download open-source weights + +```bash +pip install modelscope +modelscope download --model Qwen/Qwen2-7B-Instruct --local_dir /nfs/Qwen/Qwen2-7B-Instruct +``` + +### Start the inference service + +```bash +docker run --rm --init --detach \ + --net=host --uts=host --ipc=host \ + --security-opt=seccomp=unconfined \ + --privileged=true \ + --ulimit stack=67108864 \ + --ulimit memlock=-1 \ + --ulimit nofile=1048576:1048576 \ + --shm-size=32G \ + -v /nfs:/nfs \ + --gpus all \ + --name flagos \ + flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:flagrelease-arm \ + sleep infinity + +docker exec -it flagos bash +``` + +### Serve + +```bash +flagscale serve Qwen2-7B-Instruct +``` + +# Contributing + +We warmly welcome global developers to join us: +1. Submit Issues to report problems +2. Create Pull Requests to contribute code +3. Improve technical documentation +4. Expand hardware adaptation support + +# License + +本模型的权重来源于Qwen/Qwen3-4B，以apache2.0协议https://www.apache.org/licenses/LICENSE-2.0.txt开源。 \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..ae681ed --- /dev/null +++ b/config.json @@ -0,0 +1,27 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 3584, + "initializer_range": 0.02, + "intermediate_size": 18944, + "max_position_embeddings": 32768, + "max_window_layers": 28, + "model_type": "qwen2", + "num_attention_heads": 28, + "num_hidden_layers": 28, + "num_key_value_heads": 4, + "rms_norm_eps": 1e-06, + "rope_theta": 1000000.0, + "sliding_window": 131072, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.41.2", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 152064 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..f9291c3 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework":"Pytorch","task":"text-generation"} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..0eb3c53 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,14 @@ +{ + "bos_token_id": 151643, + "pad_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "repetition_penalty": 1.05, + "temperature": 0.7, + "top_p": 0.8, + "top_k": 20, + "transformers_version": "4.37.0" +} diff --git a/image/group.png b/image/group.png new file mode 100644 index 0000000000000000000000000000000000000000..0cfccf22ad571e82dbf9efdcbf7712213d850a39 GIT binary patch literal 62124 zcmd>l19P3-_jYXCcB96&Z8SC-TaBGGYHT%DV>^wl#&#RGL6hdcpWpj2-ZPWQOmd%d zZtT6*r4^&5B8!SdgaiQrfhsR2r2zo}nF4-75um_dqemec4NV_XHI!6(rx3XlHx^4SbEU;xEQWwQl-YL;zSU1Y{Ad3u4jm6olb2V z$Xl_!;;@9(`C1>I+octy2U^)h5A`)r9HGY-Gu9n^+D>TVzXy$DO*H33y3?INr=1L3 z#qD%H;Du7+W;&|>8iopwd-1!$$S%F;9NJ?rC4Qbbyfo8n^65cGoe6?C3TlpvU~~zI zYpRuKo6M|;7`I$Fa>MQ9{}hj6(=oE7YNP#Pb6wf{19?X5pFt^0F_oQ+jMSH!S>+b0 z^4@kocZnre@t25w63kdv#%K|%gaYq zKRj??K3Tzqg&*0-g%&DjhrA7jQD&jxvl(|=O{R-{V_g5`rM%c}Tt997SM=@V4TVgI zk30;Yq`=yH9)X2Vh+vb)QZlcfN&E<=BZ5z-b zV$#wP)7BeJHi>l?vBkl5>kh4*odSuYVG^+}r(DWSYYxiF%E@w4tDY|xE_~+~7d^(# zTttoz4);$1vBh%;C?tGyPHojye!Kl4b#<(XqX%vs#q+j~j*j~JS+MX*bYK2HT)}6+ z94vCx2EF}b&8P;iuU{kdg3Ihw%A1Od2Y-1*4eia$s2Hm_I@YdUEPIlcOn2@ zW*A!@-UMUNdYdBL$g2AA@p=WAQvD+^wEF#}qZqQ-}2GZ%Yo} zP1n&qsvlX!42l`7%m4D+mNRpc%Iv=BIUJ59PlzH4f9UaRDYN_h`E&bVRA)zr{$ew} zNkFo(xa!GF-lRYMgU3$qC!dt<#*JV8e}2w${pxwx#_rwyHcFPGM28(S-0geUfE0c9 za?IN|&&5K5_HePPs>is|=Dh0pX($p^r5u}7TpBHkngs2{eppL;nd{fjrrDX%{n_w^ zy-9F+Q{#N4rRL!|6LcfpEg?a~$f&Mt+$e*gWp)_C74n-JA@J8iF(0HAxzuPFk}v79 zlr(ssZj%0>h$x>?u}RS(XmWXQnM?S~U6vSx-Vn_q{ZGS%WyevmBx!lPOxwP*tF?<+qJNl77w^6kJ)$L&C$NoQFU6Y` zaitNDxBwM4m{6$cY`43#}~%uR68khr+wAr9Vqp?IWQE zZd*ss;ddlIRpt>0^raN=VBpp_OMlc;$2k?h)nuE7uCtp^UFONDZESRVdAy<7AGnPC z&c($=gN3-hhbtYj+(F=h8X5kF+;d6&rMt{7d*^D^bL;9Mk&rX;x%i@U@+kDUqNc`S zD)as0{UeEF6k1DqyAi9dq$IQt$+%&I(PKdGdyDU4V}liF#5_}bF1Fb^CMJmnS}MxQ zs66qQ)G|v;OVT^a@A3pDuEzs=h&oq43tB~<_M7qLCPs?l$Pfe7zs z48JhM`6}VIKojRRVL#dpNfE2QzAqaIUea-RxC*@Jl_!nce}uVF!$P_^Y0 zl@w=vqD-Es!%vc+Yw`(PXKWk&?8Y*6qR{Q8`)p;^2eFuPf;Bwd-cG~1gGAAMy5>EJ zXAu9_v8=Z_lj944EiLHq zqhV%d2A<3Z!juXnwal(<(@l|`VCt8HlfAv)?Ku5Yni_-0?`7Q~9oxrPQ+W(6AC7+z z=t2LUPJ&(z$SFsH=i>=EkGt z)EbxsK3PF|@#W3j9E{Fpb5HKM2>t!p1WL`zunYKx)z#G;Wuu|>n?q1dHu{2sI92;= z9vbec6P8w2PxRf*#q6lN{gPA0OHp`7Qb~pVxYErzvS6_4d82g%v)kfPa zMtYX?7h9K=8hvUM2}wywU0q$LnrP<>3l#}m@n6`N%8-)apH3xe{EqFX(*_oFYU&(L4w ztaZZ)8^cS=H!KIQq&Y2ULUd{{UQ3(yFSM?2ry=XLQ~9F&EkBPiyBb4^ttkDe82Sb^ z$xV0_0@$vrr@0&XoN7cv6y$;IXOxZe&qtK0JN^;nl9ufrd?bdHEdHdfg+f1&&Jv&a zc`sU+NDL~x)+mx@vfgPfaDnd|Hh=FC+nMghl3bglW&OlI=>iY;Oclz(iWfI>;JOa| z)2nOa*Kx&q{*u$9psp1jJ@Px_&2+IIVXw%K+_T*0otIu+)226}^2r`kp~~>K_4&;v z71SGs0U{HS#Q5uB^}zHo24 z!sjasXA~P+W|<^5yheF_>B$0j(YJ^%>TLH@bm2AwS~APYa^c~Ojf;0y!Nw)IQdE%n zBhv!?kOuLBX$$M!Q(YK~B;qZvQRUY3tvU_G{1Rrw^()pEV_ zv-mYGOxuc;8M$6~bA_p!m3oF`_bR+$7J|^|LTZy+mfq zb(9pwwqfI!#b`p>@5J1Qw6wG>-;+EN%X&K^sDFpKHiTuEbDp0-&28HW>>53|c?!5T z7W(&i@IJZs^_TN(zHkn{hQ2@E<*Bn-j{c9-|S=iY6 zz-e1;!r`VQ!-fB#HGw18?(FO&e|sE#F_ZIcWEkEU?-GM`gZz@n`6m%&9Ciz(G1&B2`|*?d8Ae`NrgIq9P~M1RsnveH6wOR(L3Da%47 z{-bcYS6WrIb2Zwvsqy{5AdB+vz{GBKCL%Fo-$=_CBXTmE1pdsGIj!Z*)7g->x3_98-#36K zn`)0HGZKk;ovyZfzR)S}_aH<_T&&c-d-skSZDfPd1e3>6QhwX1tzN&$`p?g`7X%^q z<0+ehPw5w*_-vLudwP0a|GRZaCN1{M*Ly>4jvHPRjOEu%k>IK?yRQ6tjGOF86Gv^P zGQWLXWzEHVUkWPbAFz)9Ty6CfakMv_n!P>27@*yuxf%XJ5G+LbKw6{ zcsQ;ax=+sr{^9h?XqJBQM-**5;G?-VCq8`=FZwb3F60?&V)UhbGwUs9}#OjBe^5TaNAHq{88)?7D z?++HLF<7!po_22E(z-H2Fl%TpmzB|7)+F@Tu2|0{BqXe?==2WS6;W|8kwJ$QE;`lC zDeWQ?z=&vHi_u`&IXNAdd;&;WiYmmyLckFtK7~*nEsc0Yb;OE7PTtqzjlU8hUF4bf z>q1eRKm0re(PyMpev4o7PmKsuLC9~nu(Mazhgat93jPO%LtoMLTXAXVpo}4Gvxlrp zON-MI-4s8`ub;cqNR>B1&|3D4mZ?_oW-0jzkx4Q@j|N@SecfRi8gcO2qzH+4S2}$! 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