second-state / Qwen2.5-7B-Instruct-1M-GGUF

huggingface.co
Total runs: 154
24-hour runs: 0
7-day runs: 12
30-day runs: -70
Model's Last Updated: 2025年1月27日
text-generation

Introduction of Qwen2.5-7B-Instruct-1M-GGUF

Model Details of Qwen2.5-7B-Instruct-1M-GGUF


Qwen2.5-7B-Instruct-1M-GGUF

Original Model

Qwen/Qwen2.5-7B-Instruct-1M

Run with LlamaEdge
  • LlamaEdge version: v0.16.2

  • Prompt template

    • Prompt type: chatml

    • Prompt string

      <|im_start|>system
      {system_message}<|im_end|>
      <|im_start|>user
      {prompt}<|im_end|>
      <|im_start|>assistant
      
  • Context size: 1010000 (generation 8192 tokens)

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-7B-Instruct-1M-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name Qwen2.5-7B-Instruct-1M \
      --prompt-template chatml \
      --ctx-size 1010000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-7B-Instruct-1M-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template chatml \
      --ctx-size 1010000
    
Quantized GGUF Models
Name Quant method Bits Size Use case
Qwen2.5-7B-Instruct-1M-Q2_K.gguf Q2_K 2 3.02 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-7B-Instruct-1M-Q3_K_L.gguf Q3_K_L 3 4.09 GB small, substantial quality loss
Qwen2.5-7B-Instruct-1M-Q3_K_M.gguf Q3_K_M 3 3.81 GB very small, high quality loss
Qwen2.5-7B-Instruct-1M-Q3_K_S.gguf Q3_K_S 3 3.49 GB very small, high quality loss
Qwen2.5-7B-Instruct-1M-Q4_0.gguf Q4_0 4 4.43 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-7B-Instruct-1M-Q4_K_M.gguf Q4_K_M 4 4.68 GB medium, balanced quality - recommended
Qwen2.5-7B-Instruct-1M-Q4_K_S.gguf Q4_K_S 4 4.46 GB small, greater quality loss
Qwen2.5-7B-Instruct-1M-Q5_0.gguf Q5_0 5 5.32 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-7B-Instruct-1M-Q5_K_M.gguf Q5_K_M 5 5.44 GB large, very low quality loss - recommended
Qwen2.5-7B-Instruct-1M-Q5_K_S.gguf Q5_K_S 5 5.32 GB large, low quality loss - recommended
Qwen2.5-7B-Instruct-1M-Q6_K.gguf Q6_K 6 6.25 GB very large, extremely low quality loss
Qwen2.5-7B-Instruct-1M-Q8_0.gguf Q8_0 8 8.21 GB very large, extremely low quality loss - not recommended
Qwen2.5-7B-Instruct-1M-f16.gguf f16 16 15.2 GB

Quantized with llama.cpp b4466

Runs of second-state Qwen2.5-7B-Instruct-1M-GGUF on huggingface.co

154
Total runs
0
24-hour runs
29
3-day runs
12
7-day runs
-70
30-day runs

More Information About Qwen2.5-7B-Instruct-1M-GGUF huggingface.co Model

More Qwen2.5-7B-Instruct-1M-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

Qwen2.5-7B-Instruct-1M-GGUF huggingface.co

Qwen2.5-7B-Instruct-1M-GGUF huggingface.co is an AI model on huggingface.co that provides Qwen2.5-7B-Instruct-1M-GGUF's model effect (), which can be used instantly with this second-state Qwen2.5-7B-Instruct-1M-GGUF model. huggingface.co supports a free trial of the Qwen2.5-7B-Instruct-1M-GGUF model, and also provides paid use of the Qwen2.5-7B-Instruct-1M-GGUF. Support call Qwen2.5-7B-Instruct-1M-GGUF model through api, including Node.js, Python, http.

Qwen2.5-7B-Instruct-1M-GGUF huggingface.co Url

https://huggingface.co/second-state/Qwen2.5-7B-Instruct-1M-GGUF

second-state Qwen2.5-7B-Instruct-1M-GGUF online free

Qwen2.5-7B-Instruct-1M-GGUF huggingface.co is an online trial and call api platform, which integrates Qwen2.5-7B-Instruct-1M-GGUF's modeling effects, including api services, and provides a free online trial of Qwen2.5-7B-Instruct-1M-GGUF, you can try Qwen2.5-7B-Instruct-1M-GGUF online for free by clicking the link below.

second-state Qwen2.5-7B-Instruct-1M-GGUF online free url in huggingface.co:

https://huggingface.co/second-state/Qwen2.5-7B-Instruct-1M-GGUF

Qwen2.5-7B-Instruct-1M-GGUF install

Qwen2.5-7B-Instruct-1M-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-7B-Instruct-1M-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-7B-Instruct-1M-GGUF install, users can directly use Qwen2.5-7B-Instruct-1M-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen2.5-7B-Instruct-1M-GGUF install url in huggingface.co:

https://huggingface.co/second-state/Qwen2.5-7B-Instruct-1M-GGUF

Url of Qwen2.5-7B-Instruct-1M-GGUF

Qwen2.5-7B-Instruct-1M-GGUF huggingface.co Url

Provider of Qwen2.5-7B-Instruct-1M-GGUF huggingface.co

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