kingjones777/LFM2-8B-A1B-ROCmFPX-GGUF overview
⚠️ STOCK llama.cpp WILL NOT LOAD THESE The ROCmFP4 / ROCmFPX quant types exist only in charlie12345/ROCmFPX https://github.com/charlie12345/ROCmFPX — stock lla…
Runs locally from ~4.41 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| LFM2-8B-A1B-Q4_0_ROCMFP4_COHERENT.gguf | GGUF | Q4_0_ROCMFP4_COHERENT | 4.41 GB | Download |
| LFM2-8B-A1B-Q6_0_ROCMFPX_AGENT.gguf | GGUF | Q6_0_ROCMFPX_AGENT | 7.14 GB | Download |
| LFM2-8B-A1B-Q8_0_ROCMFPX.gguf | GGUF | Q8_0_ROCMFPX | 8.02 GB | Download |
| LFM2-8B-A1B-Q8_0_ROCMFPX_AGENT.gguf | GGUF | Q8_0_ROCMFPX_AGENT | 8.13 GB | Download |
Model Details
| Model ID | kingjones777/LFM2-8B-A1B-ROCmFPX-GGUF |
|---|---|
| Author | kingjones777 |
| Pipeline | text-generation |
| License | other |
| Base model | LiquidAI/LFM2-8B-A1B |
| Last modified | 2026-08-17T01:14:05.000Z |
Model README
---
license: other
license_name: lfm1.0
base_model: LiquidAI/LFM2-8B-A1B
base_model_relation: quantized
tags: [gguf, llama.cpp, rocm, gfx1151, strix-halo, amd, ryzen-ai-max-395, rocmfp4, rocmfpx, lfm2, liquid, moe]
language: [en]
pipeline_tag: text-generation
---
> ### ⚠️ STOCK llama.cpp WILL NOT LOAD THESE
>
> The ROCmFP4 / ROCmFPX quant types exist only in
> charlie12345/ROCmFPX — stock llama.cpp reports
> invalid ggml type. Ignore the auto-generated "Use this model" commands above.
LFM2-8B-A1B — ROCmFP4 / ROCmFPX GGUF
The first ROCmFP4 quantizations of LFM2-8B-A1B. Built for **AMD gfx1151
(Ryzen AI MAX+ 395 / Strix Halo). 24 layers · hidden 2048 · 32 experts**, ~1B active.
Quantized from BF16 GGUF — a lossless source, not a requantization of a lower-bit build.
All four quants — pick by size, not by hoping
| file | ftype | size | bpw | decode (median of 3) | runs | best for |
|---|---|---|---|---|---|---|
| Q4_0_ROCMFP4_COHERENT | 102 | 4.41 GiB | 4.54 | 146.61 | 150.64 / 146.32 / 146.61 | smallest — best fit for a 128 GB Strix Halo |
| Q6_0_ROCMFPX_AGENT | 114 | 7.14 GiB | 7.35 | 104.09 | 104.09 / 104.34 / 103.95 | agent/tool-call routing at 6-bit |
| Q8_0_ROCMFPX | 111 | 8.02 GiB | 8.26 | 102.97 | 103.77 / 102.91 / 102.97 | highest fidelity, plain routing |
| Q8_0_ROCMFPX_AGENT | 115 | 8.13 GiB | 8.37 | 104.31 | 104.31 / 103.87 / 104.78 | highest fidelity + agent routing |
Measured on a Ryzen AI MAX+ 395 (gfx1151, ROCm), -ngl 999 -c 4096 -fa on -fit off,
median of 3 with warm-up discarded on an otherwise-idle box.
Correctness: 3/3 on every quant — 17x23 => 391 - capital of Japan => Tokyo - days in 2024 => 366 (max_tokens 1024)
Speculative decoding: None. No MTP / EAGLE / nextn tensors, so there is no speculative speedup to enable and no acceptance length to quote. Source: unsloth/LFM2-8B-A1B-GGUF BF16.
> ℹ️ Why no "4-bit AGENT"? The AGENT recipes exist only at 3-bit (113), 6-bit (114/117) and
> 8-bit (115) — the entire 4-bit family (100–106) has no AGENT variant. Rather than hand-roll one
> and publish it under a name implying it is standard, the 6-bit Q6_0_ROCMFPX_AGENT fills that
> slot. AGENT routing keeps more tensors at higher precision for tool-call coherence.
> ℹ️ Head protection. These GGUFs contain no separate output.weight — the embedding is
> tied — so --token-embedding-type is what protects the head here and
> --output-tensor-type is a no-op. Audited in the finished files: token_embd is Q6_K on
> the 4-bit build and Q8_0 on the 6/8-bit builds.
---
What was NOT measured
- No perplexity run, and no quality A/B against the BF16 source.
- No long-context testing. · No tool-calling evaluation — note the
AGENTbuilds are
named for tool-call routing but we did not benchmark tool use.
Base model licence inherited; all credit for the weights goes to Liquid AI.
Run kingjones777/LFM2-8B-A1B-ROCmFPX-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models