Low-power CPU and shared graphics limit heavy inference.
Listing evidence: 2026-09-25. Amazon.com base price visible in an owner-supplied screenshot reviewed 25 Sep 2026; capture time not supplied. Dated reference, not a live quote. Excludes card signup offers, coupons, tax and shipping.
Fixed 24GB memory and internal storage limit model size; no CUDA support; Amazon main-offer price and stock were not verified in this run.
Listing evidence: 2026-10-03. Apple US launch price announced 22 September 2026: USD 1,699. Dated manufacturer reference, not an Amazon offer; tax and shipping may differ.
Memory is soldered and shared with the operating system.
Listing evidence: 2026-09-24. GMKtec, EVO-X2 / 64GB / 1TB, recorded 22 Sep 2026; exact ASIN capacity identified 24 Sep. This is a dated reference, not a current Amazon price; tax, shipping and bundle contents may differ.
Weight size is not tested compatibility or speed. Check runtime support and memory for context before buying. Prices are dated references. As an Amazon Associate I earn from qualifying purchases.
How these options are selected
Up to three platforms, with the lowest dated reference price on each. Unknown prices follow known prices. Each memory pool keeps a reserve: 30% (minimum 2 GB) for system or unified memory; 20% (minimum 1 GB) for dedicated VRAM. System RAM is for CPU inference. This check does not establish GPU allocation, software support or context capacity.
Model file and details
Provider
Migel Tissera
Total parameters
26,895,998,464
Exact file size
16,547,399,904 bytes
Quantization / precision
Q4_K_M
Weight repository
migtissera/Tess-4.5-27B-GGUF
Original model repository
migtissera/Tess-4.5-27B
Weight revision
af17a3f0de2b8557849c1b6fcc303d3160052450
Model revision
91b231133470bd147aac8036ed94d35e9bf1dc13
Runtime notes
Confirm model architecture and quantization support in your runner.
Recorded release date
2026-10-18
Date evidence
Source repository created 2026-10-18; availability basis, not a proven announcement date. Apache-2.0. Complete main language GGUF only; optional MTP draft and vision projector excluded. Card does not identify the precision of this quality run; do not treat it as verified Q4 quality. Per-pack differences of one or two are described by the publisher as ties.
These scores were compiled from the linked sources. These published scores were not independently tested here. Different prompts, precision, thinking budgets and tools can change results.
BenchLocal · Tess 150 pass@3
133 / 150
150 scenarios across eight packs; pass within up to three attempts. Publisher single-run evaluation; separate from pass@1.
Benchmark efficiency: 8.038 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.
Test settings: benchlocal-cli all eight packs, 150 scenarios, pass@3. Thinking on, xhigh, temperature 1.0, top-p 0.95, top-k 20, 16K thinking budget, one run per model. First-try result is 128/150 and must not be confused with 133/150.
Publisher result; no independent replication or confidence interval supplied. Apache-2.0. Complete main language GGUF only; optional MTP draft and vision projector excluded. Card does not identify the precision of this quality run; do not treat it as verified Q4 quality. Per-pack differences of one or two are described by the publisher as ties. Weight size excludes runtime and KV-cache memory; this is not a measured device-fit or speed result.
Context and version evidence: The repository and file name identify the selected model. Revision hashes are shown above when recorded. Tested context length, full hardware configuration and run date are not consistently recorded in this snapshot. Only settings explicitly stated in each benchmark record are known.
The 16.547 GB figure covers model weights in this file. It excludes the context cache, runtime, operating system and any separate multimodal files. It is not a measured RAM requirement or a token-generation speed.
Confirm model architecture and quantization support in your runner. The selected weights use 16.547 GB; this excludes context cache, runtime buffers and other programs.
These are the first listed tiers that pass our reserve policy, not measured minimum requirements. System RAM and VRAM remain separate. Use the memory tool to change the reserve for your context and runner.