description string | draft_model string | entry_path string | extra_files_json string | layer_package_available bool | mmproj_json string | moe string | name string | package_count int64 | package_repos string | primary_package_layer_count int64 | primary_package_repo string | primary_package_total_bytes int64 | runtime string | schema_version int64 | size string | source_file string | source_model_repo string | source_repo string | source_revision string | variant_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Layer package for unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL | entries/unsloth/Kimi-K2-Thinking-GGUF.json | [] | true | unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL | 1 | meshllm/Kimi-K2-Thinking-UD-Q4_K_XL-layers | 61 | meshllm/Kimi-K2-Thinking-UD-Q4_K_XL-layers | 0 | multi-machine | 1 | 61 layers | UD-Q4_K_XL/Kimi-K2-Thinking-UD-Q4_K_XL-00001-of-00014.gguf | unsloth/Kimi-K2-Thinking-GGUF | main | unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL | ||||
Draft for Qwen2.5 and DeepSeek-R1-Distill models | entries/Qwen/Qwen2.5-0.5B-Instruct-GGUF.json | [] | false | Qwen2.5-0.5B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 491MB | qwen2.5-0.5b-instruct-q4_k_m.gguf | Qwen/Qwen2.5-0.5B-Instruct-GGUF | Qwen/Qwen2.5-0.5B-Instruct-GGUF | main | qwen2.5-0.5b-instruct-q4_k_m | |||||
Small & fast general chat | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/Qwen/Qwen2.5-3B-Instruct-GGUF.json | [] | false | Qwen2.5-3B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 2.1GB | qwen2.5-3b-instruct-q4_k_m.gguf | Qwen/Qwen2.5-3B-Instruct-GGUF | Qwen/Qwen2.5-3B-Instruct-GGUF | main | qwen2.5-3b-instruct-q4_k_m | ||||
Top-tier code gen, matches GPT-4o on code | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/Qwen/Qwen2.5-Coder-32B-Instruct-GGUF.json | [] | false | Qwen2.5-Coder-32B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 20GB | qwen2.5-coder-32b-instruct-q4_k_m.gguf | Qwen/Qwen2.5-Coder-32B-Instruct-GGUF | Qwen/Qwen2.5-Coder-32B-Instruct-GGUF | main | qwen2.5-coder-32b-instruct-q4_k_m | ||||
Code generation & completion | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/Qwen/Qwen2.5-Coder-7B-Instruct-GGUF.json | [] | false | Qwen2.5-Coder-7B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 4.4GB | qwen2.5-coder-7b-instruct-q4_k_m.gguf | Qwen/Qwen2.5-Coder-7B-Instruct-GGUF | Qwen/Qwen2.5-Coder-7B-Instruct-GGUF | main | qwen2.5-coder-7b-instruct-q4_k_m | ||||
Qwen3 Coder Next ~85B dense, frontier coding model | entries/Qwen/Qwen3-Coder-Next-GGUF.json | [{"file":"Qwen3-Coder-Next-Q4_K_M/Qwen3-Coder-Next-Q4_K_M-00002-of-00004.gguf","repo":"Qwen/Qwen3-Coder-Next-GGUF","revision":"main"},{"file":"Qwen3-Coder-Next-Q4_K_M/Qwen3-Coder-Next-Q4_K_M-00003-of-00004.gguf","repo":"Qwen/Qwen3-Coder-Next-GGUF","revision":"main"},{"file":"Qwen3-Coder-Next-Q4_K_M/Qwen3-Coder-Next-Q4_... | false | Qwen3-Coder-Next-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 48GB | Qwen3-Coder-Next-Q4_K_M/Qwen3-Coder-Next-Q4_K_M-00001-of-00004.gguf | Qwen/Qwen3-Coder-Next-GGUF | Qwen/Qwen3-Coder-Next-GGUF | main | Qwen3-Coder-Next-Q4_K_M/Qwen3-Coder-Next-Q4_K_M-00001-of-00004 | |||||
Goose default, strong tool calling for agents | entries/bartowski/Hermes-2-Pro-Mistral-7B-GGUF.json | [] | false | Hermes-2-Pro-Mistral-7B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 4.4GB | Hermes-2-Pro-Mistral-7B-Q4_K_M.gguf | bartowski/Hermes-2-Pro-Mistral-7B-GGUF | bartowski/Hermes-2-Pro-Mistral-7B-GGUF | main | Hermes-2-Pro-Mistral-7B-Q4_K_M | |||||
Draft for Llama 3.x and Llama 4 models | entries/bartowski/Llama-3.2-1B-Instruct-GGUF.json | [] | false | Llama-3.2-1B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 760MB | Llama-3.2-1B-Instruct-Q4_K_M.gguf | bartowski/Llama-3.2-1B-Instruct-GGUF | bartowski/Llama-3.2-1B-Instruct-GGUF | main | Llama-3.2-1B-Instruct-Q4_K_M | |||||
Meta Llama 3.2, goose default, good tool calling | Llama-3.2-1B-Instruct-Q4_K_M | entries/bartowski/Llama-3.2-3B-Instruct-GGUF.json | [] | false | Llama-3.2-3B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 2.0GB | Llama-3.2-3B-Instruct-Q4_K_M.gguf | bartowski/Llama-3.2-3B-Instruct-GGUF | bartowski/Llama-3.2-3B-Instruct-GGUF | main | Llama-3.2-3B-Instruct-Q4_K_M | ||||
Solid general chat | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/bartowski/Qwen2.5-14B-Instruct-GGUF.json | [] | false | Qwen2.5-14B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 9.0GB | Qwen2.5-14B-Instruct-Q4_K_M.gguf | bartowski/Qwen2.5-14B-Instruct-GGUF | bartowski/Qwen2.5-14B-Instruct-GGUF | main | Qwen2.5-14B-Instruct-Q4_K_M | ||||
Proven general chat | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/bartowski/Qwen2.5-32B-Instruct-GGUF.json | [] | false | Qwen2.5-32B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 20GB | Qwen2.5-32B-Instruct-Q4_K_M.gguf | bartowski/Qwen2.5-32B-Instruct-GGUF | bartowski/Qwen2.5-32B-Instruct-GGUF | main | Qwen2.5-32B-Instruct-Q4_K_M | ||||
Strong code gen, fills gap between 7B and 32B | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/bartowski/Qwen2.5-Coder-14B-Instruct-GGUF.json | [] | false | Qwen2.5-Coder-14B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 9.0GB | Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf | bartowski/Qwen2.5-Coder-14B-Instruct-GGUF | bartowski/Qwen2.5-Coder-14B-Instruct-GGUF | main | Qwen2.5-Coder-14B-Instruct-Q4_K_M | ||||
Draft for Gemma 3 models | entries/bartowski/google_gemma-3-1b-it-GGUF.json | [] | false | Gemma-3-1B-it-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 780MB | google_gemma-3-1b-it-Q4_K_M.gguf | bartowski/google_gemma-3-1b-it-GGUF | bartowski/google_gemma-3-1b-it-GGUF | main | google_gemma-3-1b-it-Q4_K_M | |||||
Google Gemma 3 27B, strong reasoning | Gemma-3-1B-it-Q4_K_M | entries/bartowski/google_gemma-3-27b-it-GGUF.json | [] | false | Gemma-3-27B-it-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 17GB | google_gemma-3-27b-it-Q4_K_M.gguf | bartowski/google_gemma-3-27b-it-GGUF | bartowski/google_gemma-3-27b-it-GGUF | main | google_gemma-3-27b-it-Q4_K_M | ||||
MoE 109B/17B active, 16 experts top-1, Meta latest, tool calling | entries/glogwa68/Llama-4-scout-GGUF.json | [] | false | {"min_experts_per_node":6,"n_expert":16,"n_expert_used":1} | Llama-4-Scout-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 22.5GB | Llama-4-Scout-4bit-Q4_K_M.gguf | glogwa68/Llama-4-scout-GGUF | glogwa68/Llama-4-scout-GGUF | main | Llama-4-Scout-4bit-Q4_K_M | ||||
DeepSeek R1 reasoning distilled into Qwen 14B | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF.json | [] | false | DeepSeek-R1-Distill-Qwen-14B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 9.0GB | DeepSeek-R1-Distill-Qwen-14B-Q4_K_M.gguf | unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF | unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF | main | DeepSeek-R1-Distill-Qwen-14B-Q4_K_M | ||||
DeepSeek R1 reasoning distilled into Qwen 32B | Qwen2.5-0.5B-Instruct-Q4_K_M | entries/unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF.json | [] | false | DeepSeek-R1-Distill-Qwen-32B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 19.9GB | DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf | unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF | unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF | main | DeepSeek-R1-Distill-Qwen-32B-Q4_K_M | ||||
DeepSeek V3.2 MoE 671B, frontier general model, requires multi-node | entries/unsloth/DeepSeek-V3.2-GGUF.json | [{"file":"UD-Q4_K_XL/DeepSeek-V3.2-UD-Q4_K_XL-00002-of-00009.gguf","repo":"unsloth/DeepSeek-V3.2-GGUF","revision":"main"},{"file":"UD-Q4_K_XL/DeepSeek-V3.2-UD-Q4_K_XL-00003-of-00009.gguf","repo":"unsloth/DeepSeek-V3.2-GGUF","revision":"main"},{"file":"UD-Q4_K_XL/DeepSeek-V3.2-UD-Q4_K_XL-00004-of-00009.gguf","repo":"uns... | true | 671B/37B | DeepSeek-V3.2-UD-Q4_K_XL | 1 | meshllm/DeepSeek-V3.2-UD-Q4_K_XL-layers | 61 | meshllm/DeepSeek-V3.2-UD-Q4_K_XL-layers | 410,000,000,000 | multi-machine | 1 | 382GB | UD-Q4_K_XL/DeepSeek-V3.2-UD-Q4_K_XL-00001-of-00009.gguf | unsloth/DeepSeek-V3.2-GGUF | unsloth/DeepSeek-V3.2-GGUF | main | DeepSeek-V3.2-UD-Q4_K_XL | ||
Mistral agentic coding, tool use | entries/unsloth/Devstral-Small-2505-GGUF.json | [] | false | Devstral-Small-2505-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 14.3GB | Devstral-Small-2505-Q4_K_M.gguf | unsloth/Devstral-Small-2505-GGUF | unsloth/Devstral-Small-2505-GGUF | main | Devstral-Small-2505-Q4_K_M | |||||
Strong 32B, good tool calling | entries/unsloth/GLM-4-32B-0414-GGUF.json | [] | false | GLM-4-32B-0414-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 19.7GB | GLM-4-32B-0414-Q4_K_M.gguf | unsloth/GLM-4-32B-0414-GGUF | unsloth/GLM-4-32B-0414-GGUF | main | GLM-4-32B-0414-Q4_K_M | |||||
MoE 30B/3B active, 64 experts top-4, fast inference, tool calling | entries/unsloth/GLM-4.7-Flash-GGUF.json | [] | false | {"min_experts_per_node":24,"n_expert":64,"n_expert_used":4} | GLM-4.7-Flash-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 18GB | GLM-4.7-Flash-Q4_K_M.gguf | unsloth/GLM-4.7-Flash-GGUF | unsloth/GLM-4.7-Flash-GGUF | main | GLM-4.7-Flash-Q4_K_M | ||||
MiniMax-M2.5 MoE 456B/46B active, 256 experts top-8, Q4_K_M | entries/unsloth/MiniMax-M2.5-GGUF.json | [{"file":"Q4_K_M/MiniMax-M2.5-Q4_K_M-00002-of-00004.gguf","repo":"unsloth/MiniMax-M2.5-GGUF","revision":"main"},{"file":"Q4_K_M/MiniMax-M2.5-Q4_K_M-00003-of-00004.gguf","repo":"unsloth/MiniMax-M2.5-GGUF","revision":"main"},{"file":"Q4_K_M/MiniMax-M2.5-Q4_K_M-00004-of-00004.gguf","repo":"unsloth/MiniMax-M2.5-GGUF","revi... | false | {"min_experts_per_node":96,"n_expert":256,"n_expert_used":8} | MiniMax-M2.5-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 138GB | Q4_K_M/MiniMax-M2.5-Q4_K_M-00001-of-00004.gguf | unsloth/MiniMax-M2.5-GGUF | unsloth/MiniMax-M2.5-GGUF | main | Q4_K_M/MiniMax-M2.5-Q4_K_M-00001-of-00004 | ||||
Mistral general chat, good tool calling | entries/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF.json | [] | false | Mistral-Small-3.1-24B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 14.3GB | Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf | unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF | unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF | main | Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M | |||||
Draft for Qwen3 models | entries/unsloth/Qwen3-0.6B-GGUF.json | [] | false | Qwen3-0.6B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 397MB | Qwen3-0.6B-Q4_K_M.gguf | unsloth/Qwen3-0.6B-GGUF | unsloth/Qwen3-0.6B-GGUF | main | Qwen3-0.6B-Q4_K_M | |||||
Qwen3 strong chat, thinking modes | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-14B-GGUF.json | [] | false | Qwen3-14B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 9.0GB | Qwen3-14B-Q4_K_M.gguf | unsloth/Qwen3-14B-GGUF | unsloth/Qwen3-14B-GGUF | main | Qwen3-14B-Q4_K_M | ||||
Qwen3 235B MoE, proven at 16 tok/s across 2 nodes | entries/unsloth/Qwen3-235B-A22B-GGUF.json | [{"file":"UD-Q4_K_XL/Qwen3-235B-A22B-UD-Q4_K_XL-00002-of-00003.gguf","repo":"unsloth/Qwen3-235B-A22B-GGUF","revision":"main"},{"file":"UD-Q4_K_XL/Qwen3-235B-A22B-UD-Q4_K_XL-00003-of-00003.gguf","repo":"unsloth/Qwen3-235B-A22B-GGUF","revision":"main"}] | true | 235B/22B | Qwen3-235B-A22B-UD-Q4_K_XL | 1 | meshllm/Qwen3-235B-A22B-UD-Q4_K_XL-layers | 94 | meshllm/Qwen3-235B-A22B-UD-Q4_K_XL-layers | 144,000,000,000 | multi-machine | 1 | 134GB | UD-Q4_K_XL/Qwen3-235B-A22B-UD-Q4_K_XL-00001-of-00003.gguf | unsloth/Qwen3-235B-A22B-GGUF | unsloth/Qwen3-235B-A22B-GGUF | main | Qwen3-235B-A22B-UD-Q4_K_XL | ||
MoE general chat, 128 experts top-8, thinking/non-thinking | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-30B-A3B-GGUF.json | [] | false | {"min_experts_per_node":46,"n_expert":128,"n_expert_used":8} | Qwen3-30B-A3B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 17.3GB | Qwen3-30B-A3B-Q4_K_M.gguf | unsloth/Qwen3-30B-A3B-GGUF | unsloth/Qwen3-30B-A3B-GGUF | main | Qwen3-30B-A3B-Q4_K_M | |||
Best Qwen3 dense, thinking/non-thinking modes | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-32B-GGUF.json | [] | false | Qwen3-32B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 19.8GB | Qwen3-32B-Q4_K_M.gguf | unsloth/Qwen3-32B-GGUF | unsloth/Qwen3-32B-GGUF | main | Qwen3-32B-Q4_K_M | ||||
Qwen3 32B dense, layer package available | entries/unsloth/Qwen3-32B-GGUF.json | [] | true | Qwen3-32B-UD-Q4_K_XL | 1 | meshllm/Qwen3-32B-UD-Q4_K_XL-layers | 64 | meshllm/Qwen3-32B-UD-Q4_K_XL-layers | 0 | multi-machine | 1 | 20.0GB | Qwen3-32B-UD-Q4_K_XL.gguf | unsloth/Qwen3-32B-GGUF | unsloth/Qwen3-32B-GGUF | main | Qwen3-32B-UD-Q4_K_XL | |||
Qwen3 starter, thinking/non-thinking modes | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-4B-GGUF.json | [] | false | Qwen3-4B-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 2.5GB | Qwen3-4B-Q4_K_M.gguf | unsloth/Qwen3-4B-GGUF | unsloth/Qwen3-4B-GGUF | main | Qwen3-4B-Q4_K_M | ||||
Qwen3 mid-tier, strong for its size | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-8B-GGUF.json | [] | true | Qwen3-8B-Q4_K_M | 1 | meshllm/Qwen3-8B-Q4_K_M-layers | 36 | meshllm/Qwen3-8B-Q4_K_M-layers | 0 | multi-machine | 1 | 5.0GB | Qwen3-8B-Q4_K_M.gguf | unsloth/Qwen3-8B-GGUF | unsloth/Qwen3-8B-GGUF | main | Qwen3-8B-Q4_K_M | ||
MoE agentic coding, tool use, 128 experts top-8 | Qwen3-0.6B-Q4_K_M | entries/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF.json | [] | false | {"min_experts_per_node":46,"n_expert":128,"n_expert_used":8} | Qwen3-Coder-30B-A3B-Instruct-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 18.6GB | Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf | unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | main | Qwen3-Coder-30B-A3B-Instruct-Q4_K_M | |||
Qwen3 Coder 480B MoE, largest coding model, requires multi-node | entries/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF.json | [{"file":"UD-Q4_K_XL/Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-00002-of-00006.gguf","repo":"unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF","revision":"main"},{"file":"UD-Q4_K_XL/Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-00003-of-00006.gguf","repo":"unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF","revision":"main"},{"file":"... | true | 480B/35B | Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL | 1 | meshllm/Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-layers | 62 | meshllm/Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-layers | 315,680,000,000 | multi-machine | 1 | 294GB | UD-Q4_K_XL/Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-00001-of-00006.gguf | unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF | unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF | main | Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL | ||
Tiny vision model, OCR, screenshots, runs anywhere | entries/unsloth/Qwen3.5-0.8B-GGUF.json | [] | false | {"file":"mmproj-BF16.gguf","repo":"unsloth/Qwen3.5-0.8B-GGUF","revision":"main"} | Qwen3.5-0.8B-Vision-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 508MB | Qwen3.5-0.8B-Q4_K_M.gguf | unsloth/Qwen3.5-0.8B-GGUF | unsloth/Qwen3.5-0.8B-GGUF | main | Qwen3.5-0.8B-Q4_K_M | ||||
Small vision model, good quality/size balance | entries/unsloth/Qwen3.5-4B-GGUF.json | [] | false | {"file":"mmproj-BF16.gguf","repo":"unsloth/Qwen3.5-4B-GGUF","revision":"main"} | Qwen3.5-4B-Vision-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 2.7GB | Qwen3.5-4B-Q4_K_M.gguf | unsloth/Qwen3.5-4B-GGUF | unsloth/Qwen3.5-4B-GGUF | main | Qwen3.5-4B-Q4_K_M | ||||
Vision + text, replaces Qwen3-8B with image understanding | entries/unsloth/Qwen3.5-9B-GGUF.json | [] | false | {"file":"mmproj-BF16.gguf","repo":"unsloth/Qwen3.5-9B-GGUF","revision":"main"} | Qwen3.5-9B-Vision-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 5.8GB | Qwen3.5-9B-Q4_K_M.gguf | unsloth/Qwen3.5-9B-GGUF | unsloth/Qwen3.5-9B-GGUF | main | Qwen3.5-9B-Q4_K_M | ||||
Google Gemma 3 12B, punches above weight | Gemma-3-1B-it-Q4_K_M | entries/unsloth/gemma-3-12b-it-GGUF.json | [] | false | Gemma-3-12B-it-Q4_K_M | 0 | 0 | 0 | single-machine | 1 | 7.3GB | gemma-3-12b-it-Q4_K_M.gguf | unsloth/gemma-3-12b-it-GGUF | unsloth/gemma-3-12b-it-GGUF | main | gemma-3-12b-it-Q4_K_M | ||||
Layer package for unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q4_K_M | entries/unsloth/gemma-4-26B-A4B-it-GGUF.json | [] | true | gemma-4-26B-A4B-it-UD-Q4_K_M | 1 | meshllm/gemma-4-26B-A4B-it-UD-Q4_K_M-layers | 30 | meshllm/gemma-4-26B-A4B-it-UD-Q4_K_M-layers | 0 | multi-machine | 1 | 30 layers | gemma-4-26B-A4B-it-UD-Q4_K_M.gguf | unsloth/gemma-4-26B-A4B-it-GGUF | unsloth/gemma-4-26B-A4B-it-GGUF | main | gemma-4-26B-A4B-it-UD-Q4_K_M |
Mesh-LLM Catalog
This dataset is the Hugging Face-backed catalog for Mesh-LLM.
The runtime catalog entries live under entries/**/*.json. The Dataset Viewer
uses catalog_rows.jsonl, a flat generated table with one row per model variant.
The catalog deliberately excludes raw blob URLs. Entries should resolve to Hugging Face repositories and canonical Mesh refs.
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