AlchemistCoder-DS-6.7B-GGUF
lmstudio-community基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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从语言到影像,从开源到 API。读懂模型能力、比较真实成本,
为你的下一个想法,找到合适的智能引擎。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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Private LM Studio conversion of `prism-ml/Bonsai-27B-unpacked`. The language model was converted with llama.cpp commit `0e4a0362239713ea95a6864a17a8de4b0ad90d62` using `--no-mtp`, then quantized with `llama-quantize --pure ... Q1_0`. Excluding MTP is required because the source configuration advertises one MTP layer while the checkpoint contains language blocks 0 through 63 only. This repository intentionally does **not** include Prism’s separately packaged DSpark draft model. It therefore indexes as one 27B target plus one vision adapter in LM Studio.
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Mistral AI **Original model**: Codestral-22B-v0.1 **GGUF quantization:** provided by bartowski based on `llama.cpp` release b3024 Codestral is a brand new coding model released by the Mistral team. This 22B model is the first of its size and the first ever specialized model released by this team. Supporting both instruction prompting and popular Fill in the Middle (FIM) tokens for predictions, this model should be all around great for all your coding tasks.
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** DeepSeek **Original model**: DeepSeek-Coder-V2-Lite-Instruct **GGUF quantization:** provided by bartowski based on `llama.cpp` release b3166 This is a brand new Mixture of Export (MoE) model from DeepSeek, specializing in coding instructions. This model performs well across a series of coding benchmarks and should be used for both instruction following and code completion.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b5524 **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b Created by distilling the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **MLX quantization:** provided by LM Studio team using mlx_lm **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b 4-bit quantized version of DeepSeek-R1-0528-Qwen3-8B using MLX, optimized for Apple Silicon.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-0528-Qwen3-8B **MLX quantization:** provided by LM Studio team using mlx_lm **LM Studio Model Page:** https://lmstudio.ai/models/deepseek/deepseek-r1-0528-qwen3-8b 8-bit quantized version of DeepSeek-R1-0528-Qwen3-8B using MLX, optimized for Apple Silicon.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Llama-70B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Llama-8B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Qwen-1.5B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** deepseek-ai **Original model**: DeepSeek-R1-Distill-Qwen-14B **GGUF quantization:** provided by bartowski based on `llama.cpp` release b4514 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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可以调整厂商、分类或输入输出条件;新模型正持续收录。
调整月度 Token 用量,直观比较不同模型的预估 API 开支。
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照;不计缓存优惠、阶梯价、推理额外输出与税费,请以来源的当前报价为准。
先区分输入、输出和缓存价格,再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费,不能直接与 Token 单价比较。
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本,再选择模型。