Tarek Dakhran 3a59971967 model : add label for LiquidAI LFM2-2.6B model (#16204) ... * model : add label for LiquidAI LFM2-2.6B model HF link: [LiquidAI/LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B). Support for GGUF conversion and inference is added in #14620. However, due to similar `n_embd`, it identifies as a 1.2B model. Fix the label by using `n_ff` to identify the model instead. Output of `llama-bench`: ``` | model | size | params | backend | threads | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: | | lfm2 1.2B F16 | 2.18 GiB | 1.17 B | CPU | 10 | pp512 | 223.97 ± 5.32 | | lfm2 2.6B F16 | 4.79 GiB | 2.57 B | CPU | 10 | pp512 | 92.53 ± 4.14 | | lfm2 350M F16 | 676.25 MiB | 354.48 M | CPU | 10 | pp512 | 725.52 ± 11.70 | | lfm2 700M F16 | 1.38 GiB | 742.49 M | CPU | 10 | pp512 | 336.22 ± 12.93 | ``` * Update src/llama-model.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>		2025-09-24 13:42:26 +02:00
..
CMakeLists.txt	kv-cache : drop the "unified" prefix (#15467)	2025-08-21 17:00:33 +03:00
llama-adapter.cpp	aLoRA Support (#15327)	2025-09-05 17:32:39 -06:00
llama-adapter.h	aLoRA Support (#15327)	2025-09-05 17:32:39 -06:00
llama-arch.cpp	Add LLaDA-7b-MoE diffusion model (#16003)	2025-09-16 10:38:28 +08:00
llama-arch.h	Add LLaDA-7b-MoE diffusion model (#16003)	2025-09-16 10:38:28 +08:00
llama-batch.cpp	perplexity : provide a helpful hint for has_cpl case in split_equal error. (#15304)	2025-08-14 14:03:30 +03:00
llama-batch.h	llama : reuse compute graphs (#14482)	2025-07-17 19:08:33 +03:00
llama-chat.cpp	model : add grok-2 support (#15539)	2025-09-14 23:00:59 +02:00
llama-chat.h	model : add grok-2 support (#15539)	2025-09-14 23:00:59 +02:00
llama-context.cpp	model : add grok-2 support (#15539)	2025-09-14 23:00:59 +02:00
llama-context.h	llama : separate compute buffer reserve from fattn check (#15696)	2025-08-31 15:49:03 +02:00
llama-cparams.cpp	cparams : rename LLAMA_MAX_PARALLEL_SEQUENCES to LLAMA_MAX_SEQ (#14188)	2025-06-15 10:08:58 +03:00
llama-cparams.h	llama : bump max seq limit from 64 to 256 (#15916)	2025-09-18 12:47:56 +03:00
llama-grammar.cpp	server: streaming of tool calls and thoughts when --jinja is on (#12379)	2025-05-25 01:48:08 +01:00
llama-grammar.h	tool-call: fix Qwen 2.5 Coder support, add micro benchmarks, support trigger patterns for lazy grammars (#12034)	2025-03-05 13:05:13 +00:00
llama-graph.cpp	model : add grok-2 support (#15539)	2025-09-14 23:00:59 +02:00
llama-graph.h	llama : add support for EmbeddingGemma 300m (#15798)	2025-09-04 18:10:29 +02:00
llama-hparams.cpp	kv-cache : fix SWA checks + disable cacheless iSWA (#15811)	2025-09-05 10:39:22 +03:00
llama-hparams.h	convert : add Llama4ForCausalLM (#16042)	2025-09-17 19:18:21 +02:00
llama-impl.cpp
llama-impl.h	llama: use FA + max. GPU layers by default (#15434)	2025-08-30 16:32:10 +02:00
llama-io.cpp	llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181)	2025-03-13 12:35:44 +02:00
llama-io.h	llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181)	2025-03-13 12:35:44 +02:00
llama-kv-cache-iswa.cpp	kv-cache : fix SWA checks + disable cacheless iSWA (#15811)	2025-09-05 10:39:22 +03:00
llama-kv-cache-iswa.h	kv-cache : support layer reuse (#15504)	2025-08-24 13:07:07 +03:00
llama-kv-cache.cpp	model : avoid ggml_cont_3d for fused QKV weights (#15662)	2025-09-08 10:25:33 +03:00
llama-kv-cache.h	model : avoid ggml_cont_3d for fused QKV weights (#15662)	2025-09-08 10:25:33 +03:00
llama-kv-cells.h	llama : remove KV cache defragmentation logic (#15473)	2025-08-22 12:22:13 +03:00
llama-memory-hybrid.cpp	kv-cache : fix SWA checks + disable cacheless iSWA (#15811)	2025-09-05 10:39:22 +03:00
llama-memory-hybrid.h	kv-cache : fix SWA checks + disable cacheless iSWA (#15811)	2025-09-05 10:39:22 +03:00
llama-memory-recurrent.cpp	kv-cache : support layer reuse (#15504)	2025-08-24 13:07:07 +03:00
llama-memory-recurrent.h	kv-cache : support layer reuse (#15504)	2025-08-24 13:07:07 +03:00
llama-memory.cpp	memory : correctly handle failure in apply() (#14438)	2025-06-30 18:03:03 +03:00
llama-memory.h	kv-cache : support layer reuse (#15504)	2025-08-24 13:07:07 +03:00
llama-mmap.cpp	llama : allow using mmap without PrefetchVirtualMemory, apply GGML_WIN_VER to llama.cpp sources (#14013)	2025-06-05 11:57:42 +02:00
llama-mmap.h	llama-mmap: fix missing include (#11796)	2025-02-10 20:58:18 +02:00
llama-model-loader.cpp	nvidia nemotron nano v2 (nemotronh) (#15507)	2025-08-28 18:39:31 -06:00
llama-model-loader.h	model: support GLM 4.5 family of models (#14939)	2025-08-04 20:29:25 +02:00
llama-model-saver.cpp	llama : improve sep token handling (#14272)	2025-06-20 14:04:09 +02:00
llama-model-saver.h	llama/ggml: add LLM training support (#10544)	2025-05-12 14:44:49 +02:00
llama-model.cpp	model : add label for LiquidAI LFM2-2.6B model (#16204)	2025-09-24 13:42:26 +02:00
llama-model.h	model : add label for LiquidAI LFM2-2.6B model (#16204)	2025-09-24 13:42:26 +02:00
llama-quant.cpp	llama-quant : fix the verification of attention layers for encoder-decoder models (#16023)	2025-09-17 09:30:55 +02:00
llama-quant.h
llama-sampling.cpp	sampling : optimize dist sampler (#15704)	2025-09-03 18:16:26 +03:00
llama-sampling.h
llama-vocab.cpp	Add LLaDA-7b-MoE diffusion model (#16003)	2025-09-16 10:38:28 +08:00
llama-vocab.h	model : add grok-2 support (#15539)	2025-09-14 23:00:59 +02:00
llama.cpp	ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type (#15797)	2025-09-11 22:47:38 +02:00
unicode-data.cpp
unicode-data.h
unicode.cpp	model : add Kimi-K2 support (#14654)	2025-07-15 21:54:22 +02:00
unicode.h	model : add Kimi-K2 support (#14654)	2025-07-15 21:54:22 +02:00