abenzerps/K2-Horizon-3.7B-GGUF overview
IMPORTANT Compatibility: These GGUF files require a llama.cpp build with K2 Horizon architecture support. Until upstream support lands, use the MBZUAI IFM fork…
Runs locally from ~2.82 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | abenzerps/K2-Horizon-3.7B-GGUF |
|---|---|
| Author | abenzerps |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | IFM/K2-Horizon-3.7B |
| Last modified | 2026-09-03T22:47:42.000Z |
Model README
---
base_model: IFM/K2-Horizon-3.7B
base_model_relation: quantized
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- llama.cpp
- k2-horizon
- long-context
- 512k-context
- dense
---
> [!IMPORTANT]
> Compatibility: These GGUF files require a llama.cpp build with K2 Horizon architecture support. Until upstream support lands, use the MBZUAI-IFM fork.
K2-Horizon-3.7B GGUF
GGUF quantizations of IFM/K2-Horizon-3.7B, a 3.7B dense decoder-only model for reasoning, coding, long-context work, and tool use. The source checkpoint supports a native context length of 524,288 tokens (512K).
Benchmarks
!IFM/K2-Horizon-3.7B benchmark results
Benchmark results reported by IFM for the original IFM/K2-Horizon-3.7B checkpoint.
GGUF files
| Quantization | File | Size |
| --- | --- | ---: |
| Q4_0 | K2-Horizon-3.7B-Q4_0.gguf | 3.02 GB |
| Q4_K_M | K2-Horizon-3.7B-Q4_K_M.gguf | 3.16 GB |
| Q5_K_M | K2-Horizon-3.7B-Q5_K_M.gguf | 3.64 GB |
| Q6_K | K2-Horizon-3.7B-Q6_K.gguf | 4.16 GB |
| Q8_0 | K2-Horizon-3.7B-Q8_0.gguf | 5.39 GB |
Chat template
Each GGUF embeds the llama.cpp-compatible chat template. chat_template.jinja is a matching external copy for tools that require one. The original source template is retained as chat_template.upstream.jinja for runtimes with full Jinja support.
xml is the default tool-call format. Use --chat-template-kwargs to select json or xml_typed when required.
Usage
Use the IFM K2 Horizon llama.cpp fork.
llama-cli \
-m K2-Horizon-3.7B-Q4_K_M.gguf \
-c 8192 -n 512 --jinja \
-p "Explain why reproducible builds matter."
Source
- Model: IFM/K2-Horizon-3.7B
- Source revision:
633f52a - License: Apache-2.0
- Checksums: SHA256SUMS.txt
Run abenzerps/K2-Horizon-3.7B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models