Deepseek Ai Deepseek Coder 33b Instruct Quantized Versions

Deepseek Ai Deepseek Coder 33b Instruct A Hugging Face Space By We provide various sizes of the code model, ranging from 1b to 33b versions. each model is pre trained on project level code corpus by employing a window size of 16k and a extra fill in the blank task, to support project level code completion and infilling. Deepseek coder is composed of a series of code language models, each trained from scratch on 2t tokens, with a composition of 87% code and 13% natural language in both english and chinese. we provide various sizes of the code model, ranging from 1b to 33b versions.

Deepseek Ai Deepseek Coder 33b Instruct Quantized Versions This page documents the quantized model variants of deepseek coder created by community contributors, specifically focusing on thebloke's comprehensive quantization efforts. Deepseek coder comprises a series of code language models trained from scratch on both 87% code and 13% natural language in english and chinese, with each model pre trained on 2t tokens. we provide various sizes of the code model, ranging from 1b to 33b versions. Deepseek coder is composed of a series of code language models, each trained from scratch on 2t tokens, with a composition of 87% code and 13% natural language in both english and chinese. we provide various sizes of the code model, ranging from 1b to 33b versions. Deepseek coder is trained from scratch on both 87% code and 13% natural language in english and chinese. each of the models are pre trained on 2 trillion tokens.

Deepseek Ai Deepseek Coder 33b Instruct Fine Tune The Model With Part Deepseek coder is composed of a series of code language models, each trained from scratch on 2t tokens, with a composition of 87% code and 13% natural language in both english and chinese. we provide various sizes of the code model, ranging from 1b to 33b versions. Deepseek coder is trained from scratch on both 87% code and 13% natural language in english and chinese. each of the models are pre trained on 2 trillion tokens. Deepseek coder offers various model sizes ranging from 1b to 33b parameters, enabling users to choose the setup best suited for their needs. the 33b version has been fine tuned on 2b tokens of instruction data to enhance its coding capabilities. On demand deployments give you dedicated gpus for deepseek coder 33b instruct using fireworks' reliable, high performance system with no rate limits. Thebloke’s quantized version of deepseek’s coder 33b instruct model in gguf format. the full model card can be found here. specifically, this is the deepseek coder 33b instruct.q5 k m.gguf model, with a 16k context window. Run thebloke deepseek coder 33b instruct awq with fast, reliable, and scalable inference on friendliai. get low latency performance with advanced quantization (fp4, fp8, int4, int8), continuous batching, optimized gpu kernels, token caching, and seamless api integration.