MODEL PROFILE

CodeLlama-34B-Python-GGUF

TheBloke · CodeLlama-34B-Python-GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible. shell pip3 install huggingface-hub>=0.17.1 shell huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF codellama-34b-python.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False shell huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf' shell pip3 install hf_transfer shell HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF codellama-34b-python.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False shell ./main -ngl 32 -m codellama-34b-python.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "[INST] Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.

Text generationcodelicense:llama2
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 19:45:30
OVERVIEW

Model overview

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible. shell pip3 install huggingface-hub>=0.17.1 shell huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF codellama-34b-python.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False shell huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf' shell pip3 install hf_transfer shell HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/CodeLlama-34B-Python-GGUF codellama-34b-python.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False shell ./main -ngl 32 -m codellama-34b-python.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "[INST] Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

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Sources & traceability

许可证:llama2。模型介绍与第三方评测均以原来源的具体版本和方法为准。