ModelHub XC b4f34e4cca 初始化项目,由ModelHub XC社区提供模型
Model: second-state/xLAM-7b-fc-r-GGUF
Source: Original Platform
2026-06-18 09:16:12 +08:00

license, model_name, base_model, inference, model_creator, quantized_by, pipeline_tag, tags, language
license model_name base_model inference model_creator quantized_by pipeline_tag tags language
cc-by-nc-4.0 xLAM-7b-fc-r Salesforce/xLAM-7b-fc-r false Salesforce Second State Inc. text-generation
function-calling
LLM Agent
tool-use
deepseek
en

xLAM-7b-fc-r-GGUF

Original Model

Salesforce/xLAM-7b-fc-r

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Context size: 4096

Quantized GGUF Models

Name Quant method Bits Size Use case
xLAM-7b-fc-r-Q2_K.gguf Q2_K 2 2.72 GB smallest, significant quality loss - not recommended for most purposes
xLAM-7b-fc-r-Q3_K_L.gguf Q3_K_L 3 3.75 GB small, substantial quality loss
xLAM-7b-fc-r-Q3_K_M.gguf Q3_K_M 3 3.46 GB very small, high quality loss
xLAM-7b-fc-r-Q3_K_S.gguf Q3_K_S 3 3.14 GB very small, high quality loss
xLAM-7b-fc-r-Q4_0.gguf Q4_0 4 4.00 GB legacy; small, very high quality loss - prefer using Q3_K_M
xLAM-7b-fc-r-Q4_K_M.gguf Q4_K_M 4 4.22 GB medium, balanced quality - recommended
xLAM-7b-fc-r-Q4_K_S.gguf Q4_K_S 4 4.03 GB small, greater quality loss
xLAM-7b-fc-r-Q5_0.gguf Q5_0 5 4.81 GB legacy; medium, balanced quality - prefer using Q4_K_M
xLAM-7b-fc-r-Q5_K_M.gguf Q5_K_M 5 4.93 GB large, very low quality loss - recommended
xLAM-7b-fc-r-Q5_K_S.gguf Q5_K_S 5 4.81 GB large, low quality loss - recommended
xLAM-7b-fc-r-Q6_K.gguf Q6_K 6 5.67 GB very large, extremely low quality loss
xLAM-7b-fc-r-Q8_0.gguf Q8_0 8 7.35 GB very large, extremely low quality loss - not recommended
xLAM-7b-fc-r-f16.gguf f16 16 13.8 GB

Quantized with llama.cpp b3613.

Description
Model synced from source: second-state/xLAM-7b-fc-r-GGUF
Readme 27 KiB